WO2021199793A1 - Deterioration diagnosis device, deterioration diagnosis system, and recording medium - Google Patents

Deterioration diagnosis device, deterioration diagnosis system, and recording medium Download PDF

Info

Publication number
WO2021199793A1
WO2021199793A1 PCT/JP2021/006641 JP2021006641W WO2021199793A1 WO 2021199793 A1 WO2021199793 A1 WO 2021199793A1 JP 2021006641 W JP2021006641 W JP 2021006641W WO 2021199793 A1 WO2021199793 A1 WO 2021199793A1
Authority
WO
WIPO (PCT)
Prior art keywords
deterioration
degree
rate
history
deterioration diagnosis
Prior art date
Application number
PCT/JP2021/006641
Other languages
French (fr)
Japanese (ja)
Inventor
奈々 十文字
千里 菅原
Original Assignee
日本電気株式会社
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by 日本電気株式会社 filed Critical 日本電気株式会社
Priority to US17/908,647 priority Critical patent/US20230108633A1/en
Priority to JP2022511659A priority patent/JP7364045B2/en
Publication of WO2021199793A1 publication Critical patent/WO2021199793A1/en

Links

Images

Classifications

    • E—FIXED CONSTRUCTIONS
    • E01—CONSTRUCTION OF ROADS, RAILWAYS, OR BRIDGES
    • E01C—CONSTRUCTION OF, OR SURFACES FOR, ROADS, SPORTS GROUNDS, OR THE LIKE; MACHINES OR AUXILIARY TOOLS FOR CONSTRUCTION OR REPAIR
    • E01C23/00—Auxiliary devices or arrangements for constructing, repairing, reconditioning, or taking-up road or like surfaces
    • E01C23/01—Devices or auxiliary means for setting-out or checking the configuration of new surfacing, e.g. templates, screed or reference line supports; Applications of apparatus for measuring, indicating, or recording the surface configuration of existing surfacing, e.g. profilographs
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01B—MEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
    • G01B5/00—Measuring arrangements characterised by the use of mechanical techniques
    • G01B5/28—Measuring arrangements characterised by the use of mechanical techniques for measuring roughness or irregularity of surfaces
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01M—TESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
    • G01M99/00—Subject matter not provided for in other groups of this subclass
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/0002—Inspection of images, e.g. flaw detection
    • G06T7/0004—Industrial image inspection
    • G06T7/001—Industrial image inspection using an image reference approach
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00—Scenes; Scene-specific elements
    • G06V20/50—Context or environment of the image
    • G06V20/56—Context or environment of the image exterior to a vehicle by using sensors mounted on the vehicle
    • G06V20/58—Recognition of moving objects or obstacles, e.g. vehicles or pedestrians; Recognition of traffic objects, e.g. traffic signs, traffic lights or roads
    • G06V20/582—Recognition of moving objects or obstacles, e.g. vehicles or pedestrians; Recognition of traffic objects, e.g. traffic signs, traffic lights or roads of traffic signs
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/20—Administration of product repair or maintenance
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/30—Subject of image; Context of image processing
    • G06T2207/30181—Earth observation
    • G06T2207/30184—Infrastructure
    • G—PHYSICS
    • G08—SIGNALLING
    • G08G—TRAFFIC CONTROL SYSTEMS
    • G08G1/00—Traffic control systems for road vehicles
    • G08G1/01—Detecting movement of traffic to be counted or controlled
    • G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
    • G08G1/0108—Measuring and analyzing of parameters relative to traffic conditions based on the source of data
    • G08G1/0112—Measuring and analyzing of parameters relative to traffic conditions based on the source of data from the vehicle, e.g. floating car data [FCD]
    • G—PHYSICS
    • G08—SIGNALLING
    • G08G—TRAFFIC CONTROL SYSTEMS
    • G08G1/00—Traffic control systems for road vehicles
    • G08G1/01—Detecting movement of traffic to be counted or controlled
    • G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
    • G08G1/0108—Measuring and analyzing of parameters relative to traffic conditions based on the source of data
    • G08G1/0116—Measuring and analyzing of parameters relative to traffic conditions based on the source of data from roadside infrastructure, e.g. beacons
    • G—PHYSICS
    • G08—SIGNALLING
    • G08G—TRAFFIC CONTROL SYSTEMS
    • G08G1/00—Traffic control systems for road vehicles
    • G08G1/01—Detecting movement of traffic to be counted or controlled
    • G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
    • G08G1/0125—Traffic data processing
    • G08G1/0129—Traffic data processing for creating historical data or processing based on historical data
    • G—PHYSICS
    • G08—SIGNALLING
    • G08G—TRAFFIC CONTROL SYSTEMS
    • G08G1/00—Traffic control systems for road vehicles
    • G08G1/01—Detecting movement of traffic to be counted or controlled
    • G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
    • G08G1/0137—Measuring and analyzing of parameters relative to traffic conditions for specific applications
    • G08G1/0141—Measuring and analyzing of parameters relative to traffic conditions for specific applications for traffic information dissemination

Definitions

  • the present invention relates to the diagnosis of deterioration of structures such as roads.
  • the road surface, signs installed on the road side, and structures such as ceilings and side walls of tunnels deteriorate over time.
  • Patent Documents 1 to 3 a device for measuring deterioration of a structure or the like has been proposed (see, for example, Patent Documents 1 to 3).
  • the road surface investigation program described in Patent Document 1 determines a deteriorated point on the road surface by using the measurement frequency of acceleration at a deterioration candidate point.
  • the road management system described in Patent Document 2 predicts road surface properties based on changes in road surface properties and changes in traffic volume during the measurement period.
  • the information processing device described in Patent Document 3 stores the road structure in the image taken from the vehicle and the position of the vehicle in association with each other.
  • JP 2013-140448 Japanese Unexamined Patent Publication No. 2019-185443 Japanese Unexamined Patent Publication No. 2016-151967
  • a general road surface deterioration diagnosis device diagnoses deterioration of a road surface or the like using an image for each predetermined portion (for example, 100 m).
  • the user of the deterioration diagnosis device can grasp the part of the road surface that needs repair by using the result of the deterioration diagnosis of the road surface for each part output from the deterioration diagnosis device.
  • the number of road surface deterioration diagnosis results output by the deterioration diagnosis device is tens of thousands or more.
  • the user needs to preferentially select the part that needs repair from the results of many deterioration diagnoses.
  • the user can narrow down the part to be diagnosed on the road surface by using the calculated deterioration level.
  • the result of deterioration diagnosis (deterioration level) of the road surface to be repaired is classified into several groups. For example, when dividing the road surface using the crack rate, the road surface is divided into three groups (small deterioration (deterioration rate: 0% to 20%) / medium deterioration (deterioration rate: 20% to 40%) / large deterioration (deterioration rate). : 40% or more))).
  • the number of parts included in each group is about several hundred to several thousand. Therefore, for example, when selecting a part that needs to be repaired preferentially from the parts included in the group having a large deterioration level, the user preferentially repairs the part that needs to be repaired from hundreds to thousands. Had to choose. However, a considerable amount of man-hours are required to manually select the part to be repaired preferentially from the hundreds to thousands of diagnosis results.
  • Patent Documents 1 to 3 have a problem that the target portion of deterioration diagnosis cannot be narrowed down to an appropriate amount.
  • An object of the present invention is to solve the above-mentioned problems and to provide a deterioration diagnosis device for further narrowing down the target portion of deterioration diagnosis in addition to narrowing down using the result of deterioration diagnosis.
  • the deterioration diagnostic apparatus is Deterioration information storage means for storing the history of deterioration of the part to be diagnosed in the structure, Deterioration rate calculation means that calculates the deterioration rate of parts based on the history, A partial selection means for selecting a part that satisfies the conditions related to the degree of deterioration and the conditions related to the deterioration rate, and Includes an output means that outputs information related to the selected portion.
  • the deterioration diagnosis system in one embodiment of the present invention is With the above deterioration diagnostic equipment, An input device that transmits conditions related to the degree of deterioration and conditions related to the deterioration rate to the deterioration diagnostic device, It includes a display device that displays a part that satisfies the condition related to the degree of deterioration and the condition related to the deterioration rate by using the information related to the part output by the deterioration diagnosis device.
  • the deterioration diagnosis method in one embodiment of the present invention is Save the history of deterioration of the part to be diagnosed in the structure, Calculate the deterioration rate of the part based on the history, Select the part that satisfies the conditions related to the degree of deterioration and the conditions related to the deterioration rate. Outputs information related to the selected part.
  • the recording medium in one embodiment of the present invention is Processing to save the history of deterioration of the part to be diagnosed in the structure, The process of calculating the deterioration rate of the part based on the history, A process of selecting a part that satisfies the conditions related to the degree of deterioration and the conditions related to the deterioration rate, and Record a program that causes the computer to perform a process that outputs information related to the selected part.
  • FIG. 1 is a block diagram showing an example of the configuration of a deterioration diagnosis system including the deterioration diagnosis device according to the first embodiment.
  • FIG. 2 is a flow chart showing an example of the operation of the deterioration diagnosis device.
  • FIG. 3 is a diagram showing an example of display of selection conditions.
  • FIG. 4 is a diagram showing an example of display of a portion used for explaining a specific example.
  • FIG. 5 is a diagram showing an example of an operation when selecting “Large” of the degree of deterioration.
  • FIG. 6 is a diagram showing an example of display when a portion having a large degree of deterioration is selected.
  • FIG. 7 is a diagram showing an example of an operation when a “large” deterioration rate is selected in the state of FIG.
  • FIG. 1 is a block diagram showing an example of the configuration of a deterioration diagnosis system including the deterioration diagnosis device according to the first embodiment.
  • FIG. 2 is a flow chart showing an example
  • FIG. 8 is a diagram showing an example of a display when a portion having a large degree of deterioration is selected and a portion having a large degree of deterioration is further selected.
  • FIG. 9 is a diagram showing an example of a deterioration curve.
  • FIG. 10 is a diagram for explaining selection in the deterioration diagnostic apparatus.
  • FIG. 11 is a diagram for explaining information related to the deterioration rate output by the deterioration diagnosis device.
  • FIG. 12 is a block diagram showing an example of the hardware configuration of the deterioration diagnosis device.
  • FIG. 13 is a block diagram showing an example of the configuration of the deterioration diagnosis device according to the second embodiment.
  • FIG. 14 is a flow chart showing an example of the operation of the deterioration diagnosis device according to the second embodiment.
  • FIG. 15 is a block diagram showing an example of the configuration of a deterioration diagnosis system including the deterioration diagnosis device according to the second embodiment.
  • FIG. 16 is a diagram
  • the "deterioration degree” is the result of the deterioration diagnosis (for example, the degree of deterioration) in the part of the structure to be diagnosed.
  • deterioration degree is arbitrary.
  • a numerical value may be used as the degree of deterioration.
  • a degree of deterioration other than a numerical value may be used.
  • characters such as ⁇ small, medium, large ⁇ may be used.
  • a predetermined analysis method is applied to an image including a part to be diagnosed in the structure, and the degree of deterioration of each part is calculated.
  • the structure to be the target of each embodiment is arbitrary.
  • the structure may be a structure in a social infrastructure such as a road (for example, a road surface, a sign, and a ceiling and a side wall such as a tunnel), a railroad, a port, a dam, and a communication facility.
  • the structure may be a structure in life-related social capital such as schools, hospitals, parks, and social welfare facilities.
  • the degree of deterioration may be calculated using information other than the image.
  • the degree of deterioration may be calculated using the acceleration detected by using an acceleration sensor or the like.
  • the degree of deterioration may be calculated for the entire structure, not for each part.
  • the range of deterioration degree values is arbitrary.
  • the crack rate of the road surface may be used as the degree of deterioration.
  • the deterioration degree value is in the range of 0.0 to 1.0 (0% to 100%).
  • the amount of rutting may be used as the degree of deterioration.
  • the deterioration degree value is generally an integer of 0 or more (unit: mm).
  • a rational number may be used as the value of the rut digging amount.
  • each embodiment may use the International Roughness Index (IRI: International Roughness Index) as the degree of deterioration.
  • IRI International Roughness Index
  • the value of the degree of deterioration is a rational number (unit: mm / m) of 0 or more.
  • each embodiment may use a maintenance index (Maintenance Control Index (MCI)) as the degree of deterioration.
  • MCI Maintenance Control Index
  • MCI is a composite deterioration index obtained from the crack rate, the amount of rutting, and the flatness.
  • the range of deterioration degree values is arbitrary.
  • the user of each embodiment may appropriately select the degree of deterioration corresponding to the deterioration of the structure to be repaired.
  • the crack rate will be used as an example of the degree of deterioration. Therefore, in the following description, the degree of deterioration increases in value when it deteriorates. However, as the value of the degree of deterioration, a numerical value may be used so that the value becomes smaller when the degree of deterioration is deteriorated due to the processing using the degree of deterioration.
  • Deterioration rate is the degree of change in the degree of deterioration over time.
  • the deterioration rate may be constant over time or may change.
  • the user may select the type of deterioration rate according to the diagnosis target.
  • linear approximation such as linear regression may be used.
  • a quadratic curve quadratic regression
  • quadratic regression quadratic regression
  • deterioration degree and “deterioration rate” are used as conditions for selecting the portion to be diagnosed. However, this does not limit each embodiment. In each embodiment, it is not necessary to use either or both of “deterioration degree” and “deterioration rate” if two or more selection conditions are used.
  • the degree of deterioration corresponding to a plurality of deteriorations may be used.
  • the crack rate and the rutting amount may be used as the deterioration.
  • each embodiment may combine selections using the degree of deterioration and the rate of deterioration for each deterioration. In the following description, in order to clarify the description, a case where one deterioration is used will be described.
  • FIG. 1 is a block diagram showing an example of the configuration of the deterioration diagnosis system 10 including the deterioration diagnosis device 100 according to the first embodiment.
  • the deterioration diagnosis system 10 includes a deterioration diagnosis device 100, an image pickup device 200, a display device 300, and an input device 310.
  • the image pickup device 200 captures an image including a portion of a structure (for example, a road surface, a sign, a ceiling, and / or a side wall) to be diagnosed.
  • a structure for example, a road surface, a sign, a ceiling, and / or a side wall
  • the deterioration diagnosis system 10 can use any device as the image pickup device 200 as long as it can capture an image including a portion to be diagnosed.
  • the deterioration diagnosis system 10 may use a drive recorder installed for the purpose of recording a situation at the time of a car accident as the image pickup device 200.
  • the deterioration diagnosis system 10 may use a camera that captures a landscape (for example, an omnidirectional camera) as the image pickup device 200.
  • the image pickup device 200 may be an image pickup device mounted on a vehicle used in an intelligent transportation system (ITS) or the like.
  • Intelligent Transport Systems is a transportation system that uses information technology (IT: Information Technology).
  • FIG. 16 is a diagram showing an outline of ITS.
  • the information processing device 410 collects information from the vehicle 440 via the network 420 and / or the communication path 430. Then, the information processing device 410 controls the equipment 450 installed on the road or the like based on the collected information to execute a predetermined process (for example, support for safe driving or management of the road).
  • the equipment 450 is optional.
  • FIG. 16 shows a traffic light and an electronic toll collection system (Electronic Toll Collection System (ETC in FIG. 16)) as an example of the equipment 450.
  • ETC Electronic Toll Collection System
  • the deterioration diagnosis system 10 may use a camera used for automatic driving as the image pickup device 200. As described above, the deterioration diagnosis system 10 may be used in an automatic driving system.
  • the imaging device 200 transmits the captured image to the deterioration diagnosis device 100 together with the photographing time.
  • the deterioration diagnosis device 100 may include the image pickup device 200.
  • the input device 310 receives input from a user or the like to the deterioration diagnosis device 100 of conditions for selecting a portion subject to deterioration diagnosis (hereinafter, referred to as "selection condition"). Then, the input device 310 transmits the accepted selection condition to the deterioration diagnosis device 100.
  • the deterioration diagnosis device 100 uses at least two or more conditions in selecting the portion subject to the deterioration diagnosis. Therefore, the selection condition includes a plurality of conditions.
  • the input device 310 may transmit two or more conditions together to the deterioration diagnosis device 100, or may transmit the conditions individually.
  • the input device 310 may transmit the changed selection condition to the deterioration diagnosis device 100, or may transmit the changed content in the selection condition.
  • the input device 310 may display information required for receiving the input.
  • the input device 310 may include a display device such as a liquid crystal display.
  • the input device 310 may accept input in cooperation with the display device 300.
  • the deterioration diagnosis device 100 may include an input device 310.
  • the input device 310 may be a keyboard, mouse, or touchpad.
  • the display device 300 receives the output of the deterioration diagnosis device 100 (at least the information related to the selected portion), which will be described later, and displays the portion using the output of the received deterioration diagnosis device 100.
  • the deterioration diagnosis system 10 can use any device as the display device 300 as long as it can display the output of the deterioration diagnosis device 100.
  • the deterioration diagnosis system 10 may use as the display device 300 a display device included in a system for managing road repairs and repairs.
  • the deterioration diagnosis system 10 may use the display device of the terminal device carried by the user (for example, the liquid crystal display of the terminal) as the display device 300.
  • the deterioration diagnosis device 100 may include the display device 300.
  • the display device 300 may be a liquid crystal display, an organic electroluminescence display, or electronic paper.
  • the display device 300 may display information that assists the input in the input device 310.
  • the display device 300 and the input device 310 may be included in one device instead of different devices.
  • the display device 300 and the input device 310 may be realized by using a computer device including a liquid crystal display, a keyboard, and a mouse.
  • the display device 300 and the input device 310 may be realized by using a touch panel including a touch pad and a liquid crystal display.
  • the deterioration diagnosis device 100 acquires an image from the image pickup device 200. Then, the deterioration diagnosis device 100 calculates the degree of deterioration of the portion to be diagnosed included in the image. Further, the deterioration diagnosis device 100 stores the calculated deterioration degree as a history based on the photographing time. Then, the deterioration diagnosis device 100 calculates the deterioration rate based on the history. Then, the deterioration diagnosis device 100 selects a portion where the degree of deterioration and the deterioration rate satisfy the selection conditions. Then, the deterioration diagnosis device 100 transmits information related to the selected portion (for example, information related to the position of the selected portion) to the display device 300.
  • information related to the selected portion for example, information related to the position of the selected portion
  • the deterioration diagnosis device 100 includes an image acquisition unit 110, a deterioration degree calculation unit 120, a deterioration information storage unit 130, a deterioration speed calculation unit 140, a partial selection unit 150, and an output unit 160.
  • the image acquisition unit 110 acquires an image including a part of the structure to be diagnosed (for example, a road surface or a side wall and a ceiling of a tunnel) and an image shooting time.
  • the image acquisition unit 110 may acquire information related to the position of the portion to be diagnosed (hereinafter, referred to as “position information”).
  • the position information is, for example, the latitude and longitude of the portion.
  • the position information may include the direction of the portion.
  • the deterioration degree calculation unit 120 calculates the deterioration degree of the portion to be diagnosed by using a predetermined method.
  • the method used by the deterioration degree calculation unit 120 to calculate the deterioration degree is arbitrary.
  • the deterioration degree calculation unit 120 calculates the area of the road surface and the area of cracks included in the image by using a predetermined image recognition. Then, the deterioration degree calculation unit 120 calculates the crack rate of the road surface as the deterioration degree based on the calculated road surface area and the crack area.
  • the deterioration degree calculation unit 120 may calculate the deterioration degree by using predetermined machine learning or artificial intelligence.
  • the deterioration degree calculation unit 120 uses predetermined image recognition, machine learning, or artificial intelligence to determine the type of deterioration contained in the image (for example, cracking or rutting), and the determined deterioration is achieved.
  • the degree of deterioration may be calculated.
  • the image may include shooting time and position information as information.
  • the image may contain multiple parts for diagnosis.
  • the deterioration degree calculation unit 120 may calculate the deterioration degree for all the parts.
  • the deterioration degree calculation unit 120 may calculate the deterioration degree with respect to the portion selected according to a predetermined selection rule.
  • the deterioration degree calculation unit 120 uses the calculated deterioration degree and the shooting time to store the history of the deterioration degree corresponding to the portion in the deterioration information storage unit 130.
  • the deterioration degree calculation unit 120 stores the history corresponding to each part in the deterioration information storage unit 130. For example, the deterioration degree calculation unit 120 may save the history of the deterioration degree at each position by using the position information of the portion to be diagnosed.
  • the acquisition source of the position information in the deterioration diagnosis device 100 is arbitrary.
  • the image acquisition unit 110 may acquire position information from the image pickup apparatus 200.
  • a position calculation device (not shown) may calculate the position information by using the acquired image and the map information in which the position and the image are associated with each other.
  • the deterioration information storage unit 130 stores the history of the degree of deterioration.
  • the deterioration rate calculation unit 140 calculates the deterioration rate using the stored history.
  • the deterioration rate calculation unit 140 calculates the deterioration rate for each part.
  • the deterioration rate calculation unit 140 stores the calculated deterioration rate in the deterioration information storage unit 130 in association with the portion to be diagnosed. Alternatively, the deterioration rate calculation unit 140 may store the deterioration rate in a storage device (not shown). Alternatively, the deterioration rate calculation unit 140 may output the calculated deterioration rate to the partial selection unit 150.
  • the method of calculating the deterioration rate in the deterioration rate calculation unit 140 is arbitrary.
  • the deterioration rate calculation unit 140 may apply a predetermined regression analysis (for example, linear regression or quadratic curve regression) to the history to calculate the deterioration rate.
  • a predetermined regression analysis for example, linear regression or quadratic curve regression
  • the deterioration rate calculation unit 140 may use predetermined machine learning or artificial intelligence to calculate the deterioration rate.
  • the partial selection unit 150 receives the selection condition from the input device 310.
  • the selection condition includes at least a condition related to the degree of deterioration (hereinafter referred to as “deterioration degree condition”) and a condition related to the deterioration rate (hereinafter referred to as “deterioration rate condition”). And. However, as described above, the selection condition may include another condition.
  • the partial selection unit 150 may receive selection conditions including three or more conditions.
  • the partial selection unit 150 may receive a selection condition including both a deterioration degree condition and a deterioration rate condition. Alternatively, the partial selection unit 150 may separately receive the selection condition including the deterioration degree condition and the selection condition including the deterioration rate condition.
  • the partial selection unit 150 selects a portion where the calculated deterioration degree and deterioration rate satisfy the selection conditions (deterioration degree condition and deterioration rate condition) from the parts to be diagnosed.
  • the partial selection unit 150 may select a portion by using both the deterioration degree condition and the deterioration speed condition at the same time. Alternatively, the partial selection unit 150 may select a portion that satisfies one selection condition, and select a portion that satisfies the next selection condition from the selected portions. For example, the partial selection unit 150 may first select a portion using the deterioration degree condition, and then further select a portion from the selected portion using the deterioration rate condition. In this case, the partial selection unit 150 may sequentially transmit the selected results to the output unit 160.
  • the partial selection unit 150 may select a part using all the conditions.
  • the partial selection unit 150 may execute an operation of sequentially applying a plurality of conditions according to a predetermined rule to select a portion. In this case, the partial selection unit 150 may sequentially transmit the selected results to the output unit 160.
  • the partial selection unit 150 selects a portion using the degree of deterioration and the deterioration rate stored in the deterioration information storage unit 130. However, the partial selection unit 150 may acquire at least one or both of the deterioration degree and the deterioration rate from the deterioration degree calculation unit 120 and / or the deterioration rate calculation unit 140.
  • the partial selection unit 150 outputs the selected portion to the output unit 160.
  • the output unit 160 outputs information related to the selected part.
  • the output unit 160 may output information related to the unselected portion instead of the information related to the selected portion. Further, in the case of selection after selection once, the output unit 160 may output information related to the portion deselected.
  • the output unit 160 may match the output destination device and the information specifications in advance as the information to be output.
  • the output unit 160 outputs "information related to the selected portion".
  • the content of the information output by the output unit 160 is arbitrary.
  • the user of the deterioration diagnosis device 100 may select the information to be output according to the output destination.
  • the output unit 160 may display the portion.
  • the position information for example, latitude and longitude
  • the output unit 160 may output the position information and the degree of deterioration of the selected part.
  • the output unit 160 may appropriately acquire information from a configuration that stores the information or a configuration that can output the information in the output of the information related to the selected portion. For example, when outputting the position information, the output unit 160 may acquire the position information from the image acquisition unit 110 or the deterioration information storage unit 130.
  • FIG. 2 is a flow chart showing an example of the operation of the deterioration diagnosis device 100.
  • the image acquisition unit 110 acquires an image including a portion to be diagnosed (step S501).
  • the deterioration degree calculation unit 120 calculates the deterioration degree using the image (step S503).
  • the deterioration information storage unit 130 stores the degree of deterioration as a history (step S505).
  • the deterioration rate calculation unit 140 calculates the deterioration rate based on the history (step S507).
  • the partial selection unit 150 receives selection conditions (conditions related to the degree of deterioration and conditions related to the deterioration rate). Then, the partial selection unit 150 selects a portion that satisfies the selection condition (step S509).
  • the output unit 160 outputs information related to the selected portion (step S511).
  • the deterioration diagnosis device 100 ends the operation.
  • the deterioration diagnosis device 100 may repeat the operations of steps S509 and S511.
  • the deterioration diagnosis device 100 waits for the reception of the selection condition from the input device 310 after operating up to step S507. Then, when the deterioration diagnosis device 100 receives the selection condition from the input device 310, the deterioration diagnosis device 100 operates from steps S509 to S511. Then, the deterioration diagnosis device 100 may wait for the reception of the selection condition from the input device 310 again.
  • FIG. 3 is a diagram showing an example of display of selection conditions.
  • FIG. 3 is an example of a display when a portion to be diagnosed is selected by using the degree of deterioration and the rate of deterioration as selection conditions.
  • the display device 300 and the input device 310 are realized by using a computer device including a liquid crystal display, a keyboard, and a mouse.
  • the display device 300 displays the selection conditions shown in FIG.
  • the input device 310 moves the cursor (or mouse pointer) according to the user's mouse operation or the like. Then, when the input device 310 detects that the button is pressed (clicked) at a position where the cursor and the selection condition overlap, the input device 310 transmits the selection condition (for example, a large degree of deterioration) at that position to the deterioration diagnosis device 100. In the following description, such operations may be collectively referred to as "the user selects a selection condition". Note that FIG. 3 shows an oblique arrow as a cursor.
  • the deterioration diagnosis device 100 selects a portion that satisfies the received selection condition (for example, a large degree of deterioration). Then, the deterioration diagnosis device 100 transmits information related to the selected portion to the display device 300.
  • the display device 300 changes the display using the information received from the deterioration diagnosis device 100.
  • FIG. 4 is a diagram showing an example of display of a part used for the explanation of the following specific examples.
  • FIG. 4 shows an example when a road is used as a diagnosis target.
  • each arrow is the result of diagnosis in each part.
  • the black arrows indicate the majority of the deterioration.
  • the gray arrow indicates the part where the degree of deterioration is medium.
  • White arrows indicate areas where the degree of deterioration is small.
  • FIG. 5 is a diagram showing an example of an operation when selecting "Large” of the degree of deterioration. As shown in FIG. 5, when the user selects "high degree of deterioration" in the input device 310, the input device 310 transmits "high degree of deterioration" as a selection condition to the deterioration diagnosis device 100. Note that FIG. 5 highlights the selected selection conditions (large degree of deterioration).
  • the deterioration diagnosis device 100 When the deterioration diagnosis device 100 receives "high degree of deterioration" as a selection condition, it selects a part having a high degree of deterioration and outputs information related to the selected part.
  • FIG. 6 is a diagram showing an example of display when a portion having a large degree of deterioration is selected.
  • the display of other parts parts with a small degree of deterioration and a medium degree of deterioration
  • the outline of the arrow is a broken line.
  • the outline of the arrow is a broken line, and the inside is a gray diagonal line.
  • the display on the display device 300 is not limited to the above.
  • the display device 300 may leave the portion where the degree of deterioration is large and stop displaying the other portion.
  • the display device 300 may change the display of the portion where the degree of deterioration is large.
  • the display device 300 may blink the portion where the degree of deterioration is large.
  • the display device 300 may enlarge the figure of the portion where the degree of deterioration is large.
  • the deterioration diagnosis device 100 can further narrow down the part to be diagnosed.
  • FIG. 7 is a diagram showing an example of an operation when further selecting “Large” for the deterioration rate in the state of FIG.
  • the input device 310 transmits "high deterioration rate” as a selection condition.
  • the input device 310 may transmit the already selected "high degree of deterioration” together with "high deterioration rate” as a selection condition. Note that FIG. 7 highlights the selected selection conditions (high degree of deterioration and high deterioration rate).
  • the deterioration diagnosis device 100 receives "high deterioration rate" as a selection condition. Then, the deterioration diagnosis device 100 selects a portion having a deterioration rate of "large” from the selected portions having a deterioration degree of "large", and outputs information related to the selected portion.
  • FIG. 8 is a diagram showing an example of display when a portion having a large degree of deterioration is selected and further, when a portion having a large deterioration rate is selected.
  • FIG. 8 shows, as an example of selection of a large deterioration rate, in addition to the display of FIG. ) Is changed. Specifically, the inside of the arrow is a diagonal line in the portion where the deterioration rate is not high.
  • the display device 300 displays the portion satisfying the selection conditions (deterioration degree condition and deterioration rate condition) by using the information related to the portion output by the deterioration diagnosis device 100.
  • the user can grasp the part that needs repair by referring to the display as shown in FIG.
  • the deterioration diagnosis device 100 narrows down the portion to be diagnosed based on a predetermined condition (for example, a large deterioration rate) in addition to narrowing down using the degree of deterioration.
  • a predetermined condition for example, a large deterioration rate
  • FIG. 9 is a diagram showing an example of a deterioration curve.
  • FIG. 9 shows an example when quadratic curve regression is applied to the crack rate.
  • the slope in the curve corresponds to the deterioration rate.
  • FIG. 9 displays a deterioration curve corresponding to a portion having a different traffic volume as an example of the environment. As shown in FIG. 9, the portion with a large amount of traffic has a shorter time until the crack rate progresses than the portion with a small amount of traffic.
  • the number of years in which the crack rate is 20% to 30% will be described.
  • the crack rate is about 20% to 30% in about 3 to 4 years.
  • the crack rate is about 7 to 8 years, and is 20% to 30%.
  • the part with a lot of traffic has a higher deterioration rate than the part with a little traffic. Therefore, the part with a large amount of traffic has a shorter period until repair is required than the part with the same degree of deterioration and a small amount of traffic. In this way, even with the same degree of deterioration, the priority for which repair is required differs. Then, the priority of this repair can be determined by using the deterioration rate.
  • FIG. 10 is a diagram for explaining selection in the deterioration diagnosis device 100.
  • the selection of the portion having a large degree of deterioration as shown in FIG. 6 is to select the portion included in the region having a large degree of deterioration in FIG.
  • the portion having a large degree of deterioration includes a portion where the deterioration progresses quickly and a portion where the deterioration progresses relatively slowly. And, as the target of repair, it is desirable to give priority to the part where the deterioration progresses quickly.
  • the deterioration diagnostic apparatus 100 can select an appropriate part (a part having a large degree of deterioration and a high deterioration rate) as a repair target by using the deterioration degree condition and the deterioration rate condition. ..
  • the deterioration diagnosis device 100 may output information other than the information related to the selected portion.
  • the deterioration diagnosis device 100 may output information related to the deterioration rate corresponding to the portion designated by the user.
  • FIG. 11 is a diagram for explaining information related to the deterioration rate output by the deterioration diagnosis device 100.
  • FIG. 11 displays a deterioration curve generated based on the history of the degree of deterioration as information related to the deterioration rate.
  • the display device 300 and the input device 310 are computer devices including a liquid crystal display, a keyboard, and a mouse.
  • the user selects a part for displaying information related to the deterioration rate by using the display device 300 and the input device 310. For example, as shown in FIG. 11, the user places the cursor on the portion where the information is to be displayed and presses (clicks) the mouse button.
  • the input device 310 transmits information indicating the portion (for example, position information of the portion) to the deterioration diagnosis device 100.
  • the deterioration diagnosis device 100 determines the portion using the information indicating the received portion, and transmits the information related to the determined portion (for example, the history of the degree of deterioration) to the display device 300.
  • the display device 300 displays the received information (for example, the history of the degree of deterioration) and / or the information calculated using the received information (for example, the history of the degree of deterioration) (for example, the deterioration curve).
  • the received information for example, the history of the degree of deterioration
  • the information calculated using the received information for example, the history of the degree of deterioration
  • the deterioration curve for example, the deterioration curve
  • the deterioration diagnosis device 100 may output other information in addition to the information related to the deterioration rate.
  • the deterioration diagnosis device 100 may output the current deterioration degree of the designated portion in addition to the information related to the deterioration rate.
  • FIG. 11 shows the current degree of deterioration of the designated part in addition to the information related to the deterioration rate (deterioration curve).
  • the user can grasp how much time is available for repair by using the displayed current degree of deterioration and the deterioration curve (or history).
  • the deterioration diagnosis device 100 can obtain the effect of further narrowing down the target portion of the deterioration diagnosis in addition to the narrowing down using the result of the deterioration diagnosis.
  • the deterioration diagnosis device 100 includes a deterioration information storage unit 130, a deterioration rate calculation unit 140, a partial selection unit 150, and an output unit 160.
  • the deterioration information storage unit 130 stores the history of the degree of deterioration of the portion of the structure to be diagnosed.
  • the deterioration rate calculation unit 140 calculates the deterioration rate of the portion based on the history.
  • the partial selection unit 150 selects a portion that satisfies the conditions related to the degree of deterioration and the conditions related to the deterioration rate.
  • the output unit 160 outputs information related to the selected portion.
  • the deterioration diagnosis device 100 calculates the deterioration rate using the stored history of the degree of deterioration. Then, the deterioration diagnosis device 100 outputs information related to a portion where the degree of deterioration and the deterioration rate satisfy a predetermined condition.
  • the user of such a deterioration diagnosis device 100 can select a part to be diagnosed by using the deterioration rate in addition to the narrowing down using the degree of deterioration.
  • the user can grasp a more appropriate part as a target for repairs.
  • the deterioration diagnosis device 100 includes an image acquisition unit 110 and a deterioration degree calculation unit 120.
  • the image acquisition unit 110 acquires an image including a portion to be diagnosed.
  • the deterioration degree calculation unit 120 calculates the deterioration degree corresponding to the portion using the image, and stores the deterioration degree calculated as a history in the deterioration information storage unit 130.
  • the deterioration diagnosis device 100 can save the history of the degree of deterioration used for calculating the deterioration rate by using an image including a portion to be diagnosed by using these configurations.
  • the deterioration diagnosis device 100 has an effect of selecting a portion to be diagnosed more accurately than when using a theoretical curve.
  • a theoretical curve for example, a quadratic curve
  • the environment related to deterioration such as weather and traffic volume is different in the part to be diagnosed on the road surface. Therefore, the actual progress of deterioration in each part may deviate from the general theory.
  • the deterioration diagnosis device 100 uses the deterioration degree calculated using the image including the portion to be diagnosed and the deterioration rate calculated based on the calculated deterioration degree history. As described above, the deterioration diagnosis device 100 uses the deterioration degree and the deterioration rate calculated based on the actual deterioration state of the portion to be diagnosed. Therefore, the deterioration diagnosis device 100 can select a portion using a more appropriate degree of deterioration and deterioration rate as compared with the case of using a theoretical curve corresponding to the classification of the road surface. Therefore, the user of the deterioration diagnosis device 100 can select a portion to be repaired more appropriately.
  • the deterioration diagnosis system 10 includes a deterioration diagnosis device 100, a display device 300, and an input device 310.
  • the input device 310 transmits the selection conditions (conditions related to the degree of deterioration and conditions related to the deterioration rate) to the deterioration diagnosis device 100.
  • the deterioration diagnosis device 100 outputs information related to a portion that satisfies the selection condition based on the above operation.
  • the display device 300 displays a portion that satisfies the selection conditions (conditions related to the degree of deterioration and conditions related to the deterioration rate) by using the information related to the portion output by the deterioration diagnosis device 100.
  • the deterioration diagnosis system 10 provides the user with a portion narrowed down by using a predetermined condition (condition related to the deterioration rate) in addition to the narrowing down using the degree of deterioration. can do.
  • the deterioration diagnosis system 10 includes an imaging device 200.
  • the image pickup apparatus 200 captures an image including a portion of the structure to be diagnosed and transmits it to the deterioration diagnosis apparatus 100. Based on such a configuration, the deterioration diagnosis system 10 can execute the diagnosis of deterioration of the portion of the structure included in the image by using the image taken by the image pickup apparatus 200.
  • the deterioration degree calculation unit 120 may calculate the deterioration degree by using the information acquired from the acceleration sensor (not shown) instead of the image pickup apparatus 200.
  • the deterioration degree calculation unit 120 may calculate the IRI as the deterioration degree according to the change in the acceleration acquired from the acceleration sensor.
  • the deterioration degree calculation unit 120 may calculate the deterioration degree by using the image acquired from the image pickup apparatus 200 and the information acquired from the acceleration sensor in combination.
  • Each component of the deterioration diagnosis device 100 may be composed of a hardware circuit.
  • each component may be configured by using a plurality of devices connected via a network.
  • a plurality of components may be configured by one piece of hardware.
  • the deterioration diagnosis device 100 may be realized as a computer device including a CPU (Central Processing Unit), a ROM (Read Only Memory), and a RAM (Random Access Memory).
  • the deterioration diagnosis device 100 may be realized as a computer device including a network interface circuit (NIC: Network Interface Circuit) in addition to the above configuration.
  • NIC Network Interface Circuit
  • the deterioration diagnosis device 100 may be realized as a computer device including a GPU (Graphics Processing Unit) in order to speed up the deterioration diagnosis process.
  • FIG. 12 is a block diagram showing the configuration of the information processing device 600, which is an example of the hardware configuration of the deterioration diagnosis device 100.
  • the information processing device 600 includes a CPU 610, a ROM 620, a RAM 630, a storage device 640, and a NIC 680, and constitutes a computer device.
  • the CPU 610 reads the program from the ROM 620 and / or the storage device 640. Then, the CPU 610 controls the RAM 630, the storage device 640, and the NIC 680 based on the read program. Then, the computer device including the CPU 610 controls these configurations, and the image acquisition unit 110, the deterioration degree calculation unit 120, the deterioration information storage unit 130, and the deterioration speed calculation unit 140 shown in FIG. 1 , Each function as a partial selection unit 150 and an output unit 160 is realized.
  • the CPU 610 may use the RAM 630 or the storage device 640 as a temporary storage medium for the program when realizing each function.
  • the CPU 610 may read the program included in the storage medium 690 that stores the program readable by the computer device using a storage medium reading device (not shown). Alternatively, the CPU 610 may receive a program from an external device (not shown) via the NIC 680, store the program in the RAM 630 or the storage device 640, and operate based on the stored program.
  • the ROM 620 stores a program executed by the CPU 610 and fixed data.
  • the ROM 620 is, for example, a P-ROM (Programmable-ROM) or a flash ROM.
  • the RAM 630 temporarily stores the program and data executed by the CPU 610.
  • the RAM 630 is, for example, a D-RAM (Dynamic-RAM).
  • the storage device 640 stores data and programs stored in the information processing device 600 for a long period of time.
  • the storage device 640 operates as a deterioration information storage unit 130. Further, the storage device 640 may operate as a temporary storage device of the CPU 610.
  • the storage device 640 is, for example, a hard disk device, a magneto-optical disk device, an SSD (Solid State Drive), or a disk array device.
  • the ROM 620 and the storage device 640 are non-volatile storage media.
  • the RAM 630 is a volatile storage medium. Then, the CPU 610 can operate based on the program stored in the ROM 620, the storage device 640, or the RAM 630. That is, the CPU 610 can operate using a non-volatile storage medium or a volatile storage medium.
  • the NIC 680 mediates the transmission and reception of data between the information processing device 600 and the image pickup device 200, between the information processing device 600 and the display device 300, and between the information processing device 600 and the input device 310. ..
  • the NIC680 is, for example, a LAN (Local Area Network) card. Further, the NIC680 is not limited to the wired one, and the wireless one may be used.
  • the information processing device 600 configured in this way can obtain the same effect as the deterioration diagnosis device 100.
  • the reason is that the CPU 610 of the information processing device 600 can realize the same function as the deterioration diagnosis device 100 based on the program.
  • FIG. 13 is a block diagram showing an example of the configuration of the deterioration diagnosis device 101 according to the second embodiment, which is an outline of the deterioration diagnosis device 100 of the first embodiment.
  • the deterioration diagnosis device 101 includes a deterioration information storage unit 130, a deterioration rate calculation unit 140, a partial selection unit 150, and an output unit 160.
  • the deterioration information storage unit 130 stores the history of the degree of deterioration of the portion of the structure to be diagnosed.
  • the deterioration rate calculation unit 140 calculates the deterioration rate of the portion based on the history.
  • the partial selection unit 150 selects a portion that satisfies the conditions related to the degree of deterioration and the conditions related to the deterioration rate.
  • the output unit 160 outputs information related to the selected portion.
  • the deterioration diagnosis device 101 may be realized by using the computer device shown in FIG.
  • FIG. 14 is a flow chart showing an example of the operation of the deterioration diagnosis device 101 according to the second embodiment.
  • the deterioration information storage unit 130 stores the degree of deterioration as a history (step S505).
  • the deterioration rate calculation unit 140 calculates the deterioration rate based on the history (step S507).
  • the partial selection unit 150 receives selection conditions (conditions related to the degree of deterioration and conditions related to the deterioration rate). Then, the partial selection unit 150 selects a portion that satisfies the selection condition (step S509).
  • the output unit 160 outputs information related to the selected portion (step S511).
  • the deterioration diagnosis device 101 ends the operation.
  • the deterioration diagnosis device 101 calculates the deterioration rate using the stored deterioration degree history, similarly to the deterioration diagnosis device 100. Then, the deterioration diagnosis device 101 outputs information related to a portion where the degree of deterioration and the deterioration rate satisfy a predetermined condition.
  • the deterioration diagnosis device 101 can obtain the effect of further narrowing down the portion to be the target of the deterioration diagnosis in addition to the narrowing down using the result of the deterioration diagnosis.
  • each configuration of the deterioration diagnosis device 101 operates in the same manner as the corresponding configuration in the deterioration diagnosis device 100.
  • the deterioration diagnosis device 101 in FIG. 13 is the minimum configuration of the deterioration diagnosis device 100 in the first embodiment.
  • FIG. 15 is a block diagram showing an example of the configuration of the deterioration diagnosis system 11 including the deterioration diagnosis device 101 according to the second embodiment.
  • the deterioration diagnosis system 11 includes a deterioration diagnosis device 101, a display device 300, and an input device 310.
  • the input device 310 transmits the selection conditions (conditions related to the degree of deterioration and conditions related to the deterioration rate) to the deterioration diagnosis device 101.
  • the deterioration diagnosis device 101 outputs information related to a portion that satisfies the selection condition based on the above operation.
  • the display device 300 displays a portion that satisfies the selection conditions (conditions related to the degree of deterioration and conditions related to the deterioration rate) by using the information related to the portion output by the deterioration diagnosis device 101.
  • the deterioration diagnosis system 11 provides the user with a portion narrowed down based on a predetermined condition in addition to the narrowing down using the diagnosis result from the targets of the deterioration diagnosis. can do.
  • the deterioration diagnosis system 11 in FIG. 14 is the minimum configuration of the deterioration diagnosis system 10 in the first embodiment.
  • the present invention can be used for a transportation system using information technology (IT: Information Technology) such as an intelligent transportation system (ITS).
  • IT Information Technology
  • ITS intelligent transportation system
  • Deterioration diagnosis system 11 Deterioration diagnosis system 100 Deterioration diagnosis device 101 Deterioration diagnosis device 110 Image acquisition unit 120 Deterioration degree calculation unit 130 Deterioration information storage unit 140 Deterioration speed calculation unit 150 Partial selection unit 160 Output unit 200 Imaging device 300 Display device 310 Input Device 410 Information processing device 420 Network 430 Communication path 440 Vehicle 450 Equipment 600 Information processing device 610 CPU 620 ROM 630 RAM 640 Storage device 660 Input device 670 Display device 680 NIC 690 storage medium

Landscapes

  • Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Physics & Mathematics (AREA)
  • Analytical Chemistry (AREA)
  • Chemical & Material Sciences (AREA)
  • Structural Engineering (AREA)
  • Architecture (AREA)
  • Civil Engineering (AREA)
  • Theoretical Computer Science (AREA)
  • Multimedia (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Quality & Reliability (AREA)
  • Testing Of Devices, Machine Parts, Or Other Structures Thereof (AREA)

Abstract

In order to use a prescribed condition in addition to using deterioration diagnosis results to narrow down a section that will serve as an object that is subject to deterioration, this deterioration diagnosis device comprises: a deterioration information storage means that stores a history of the degree of deterioration for a section that will serve as an object to be diagnosed in a structure; a deterioration rate calculation means that calculates the deterioration rate of the section on the basis of the history; a section selection means that selects a section that satisfies a condition related to degree of deterioration and a condition related to deterioration rate; and an output means that outputs information related to the selected section.

Description

劣化診断装置、劣化診断システム、及び、記録媒体Deterioration diagnosis device, deterioration diagnosis system, and recording medium
　本発明は、道路などの構造物の劣化の診断に関連する。 The present invention relates to the diagnosis of deterioration of structures such as roads.
　道路の路面、路側に設置された標識、並びに、トンネルなどの天井及び側壁などのような構造物は、経年劣化する。 The road surface, signs installed on the road side, and structures such as ceilings and side walls of tunnels deteriorate over time.
　そこで、構造物などの劣化を測定する装置が提案されている（例えば、特許文献１ないし３を参照）。 Therefore, a device for measuring deterioration of a structure or the like has been proposed (see, for example, Patent Documents 1 to 3).
　特許文献１に記載の路面調査プログラムは、劣化候補地点における加速度の計測頻度を用いて、路面における劣化している地点を判定する。 The road surface investigation program described in Patent Document 1 determines a deteriorated point on the road surface by using the measurement frequency of acceleration at a deterioration candidate point.
　特許文献２に記載の道路管理システムは、測定期間における路面性状の変化と交通量の推移とに基づいて、路面性状を予測する。 The road management system described in Patent Document 2 predicts road surface properties based on changes in road surface properties and changes in traffic volume during the measurement period.
　特許文献３に記載の情報処理装置は、車両から撮影した画像における道路構造物と、車両の位置とを対応付けて記憶する。 The information processing device described in Patent Document 3 stores the road structure in the image taken from the vehicle and the position of the vehicle in association with each other.
特開２０１３－１４０４４８号公報JP 2013-140448 特開２０１９－１８５４４３号公報Japanese Unexamined Patent Publication No. 2019-185443 特開２０１６－１５１９６７号公報Japanese Unexamined Patent Publication No. 2016-151967
　一般的な路面の劣化診断装置は、画像を用いた路面などの劣化診断として、所定の部分（例えば、１００ｍ）ごとに、劣化を診断する。 A general road surface deterioration diagnosis device diagnoses deterioration of a road surface or the like using an image for each predetermined portion (for example, 100 m).
　劣化診断装置の利用者は、劣化診断装置から出力される部分ごとの路面の劣化診断の結果を用いて、修繕が必要な路面の部分を把握できる。 The user of the deterioration diagnosis device can grasp the part of the road surface that needs repair by using the result of the deterioration diagnosis of the road surface for each part output from the deterioration diagnosis device.
　しかし、路面の修繕の対象となる道路が長くなると、劣化診断の結果の数が、かなり多くなる。 However, as the roads subject to road surface repair become longer, the number of deterioration diagnosis results increases considerably.
　各地方自治体の管理対象となる道路に限ったとしても、管理対象となる道路の長さは、数千ｋｍとなる。 Even if it is limited to the roads managed by each local government, the length of the roads managed will be several thousand kilometers.
　従って、劣化診断装置が出力する路面の劣化の診断の結果の数は、数万以上となる。 Therefore, the number of road surface deterioration diagnosis results output by the deterioration diagnosis device is tens of thousands or more.
　そのため、利用者は、多くの劣化診断の結果の中から、優先的に修繕が必要な部分を選択する必要がある。 Therefore, the user needs to preferentially select the part that needs repair from the results of many deterioration diagnoses.
　上記のとおり、特許文献１ないし３に記載の技術は、劣化の程度を示す値（以下、まとめて「劣化レベル」と呼ぶ）を算出する。 As described above, the techniques described in Patent Documents 1 to 3 calculate a value indicating the degree of deterioration (hereinafter collectively referred to as "deterioration level").
　そのため、利用者は、算出された劣化レベルを用いて、路面における診断対象となった部分を、絞り込むことができる。 Therefore, the user can narrow down the part to be diagnosed on the road surface by using the calculated deterioration level.
　しかし、一般的に、修繕に対象となる路面の劣化診断の結果（劣化レベル）は、数個程度のグループに分類される。例えば、ひび割れ率を用いて路面を分ける場合、路面は、３つグループ（劣化小（劣化率：０％から２０％）／劣化中（劣化率：２０％から４０％）／劣化大（劣化率：４０％以上））に分類される。 However, in general, the result of deterioration diagnosis (deterioration level) of the road surface to be repaired is classified into several groups. For example, when dividing the road surface using the crack rate, the road surface is divided into three groups (small deterioration (deterioration rate: 0% to 20%) / medium deterioration (deterioration rate: 20% to 40%) / large deterioration (deterioration rate). : 40% or more))).
　従って、特許文献１ないし３に記載の技術を用いても、各グループに含まれる部分の数は、数百から数千程度となってしまう。そのため、例えば、劣化レベルが大きいグループに含まれる部分の中から優先して修繕が必要な部分を選択する場合、利用者は、数百から数千の中から、優先的に修繕が必要な部分を選択する必要があった。しかし、人手で、数百から数千の診断結果の中から優先的に修繕する部分を選択するためには、かなりの工数が必要となる。 Therefore, even if the techniques described in Patent Documents 1 to 3 are used, the number of parts included in each group is about several hundred to several thousand. Therefore, for example, when selecting a part that needs to be repaired preferentially from the parts included in the group having a large deterioration level, the user preferentially repairs the part that needs to be repaired from hundreds to thousands. Had to choose. However, a considerable amount of man-hours are required to manually select the part to be repaired preferentially from the hundreds to thousands of diagnosis results.
　このように、特許文献１ないし３に記載の技術は、劣化診断の対象となる部分を、適切な量まで絞り込めないという問題点があった。 As described above, the techniques described in Patent Documents 1 to 3 have a problem that the target portion of deterioration diagnosis cannot be narrowed down to an appropriate amount.
　そこで、劣化レベルなどの劣化診断の結果を用いた絞り込みに加え、劣化診断の対象となる部分をさらに絞り込む技術が望まれている。 Therefore, in addition to narrowing down using the results of deterioration diagnosis such as deterioration level, a technique for further narrowing down the target part of deterioration diagnosis is desired.
　本発明の目的は、上記問題点を解決し、劣化診断の結果を用いた絞り込みに加え、劣化診断の対象となる部分をさらに絞り込む劣化診断装置などを提供することにある。 An object of the present invention is to solve the above-mentioned problems and to provide a deterioration diagnosis device for further narrowing down the target portion of deterioration diagnosis in addition to narrowing down using the result of deterioration diagnosis.
　本発明の一形態における劣化診断装置は、
構造物における診断の対象となる部分の劣化度の履歴を保存する劣化情報保存手段と、
履歴に基づいて、部分の劣化速度を算出する劣化速度算出手段と、
劣化度に関連する条件、及び、劣化速度に関連する条件を満足する部分を選択する部分選択手段と、
選択された部分に関連する情報を出力する出力手段と
を含む。 The deterioration diagnostic apparatus according to one embodiment of the present invention is
Deterioration information storage means for storing the history of deterioration of the part to be diagnosed in the structure,
Deterioration rate calculation means that calculates the deterioration rate of parts based on the history,
A partial selection means for selecting a part that satisfies the conditions related to the degree of deterioration and the conditions related to the deterioration rate, and
Includes an output means that outputs information related to the selected portion.
　本発明の一形態における劣化診断システムは、
上記の劣化診断装置と、
劣化診断装置に劣化度に関連する条件、及び、劣化速度に関連する条件を送信する入力装置と、
劣化診断装置が出力する部分に関連する情報を用いて、劣化度に関連する条件、及び、劣化速度に関連する条件を満足する部分を表示する表示装置と
を含む。 The deterioration diagnosis system in one embodiment of the present invention is
With the above deterioration diagnostic equipment,
An input device that transmits conditions related to the degree of deterioration and conditions related to the deterioration rate to the deterioration diagnostic device,
It includes a display device that displays a part that satisfies the condition related to the degree of deterioration and the condition related to the deterioration rate by using the information related to the part output by the deterioration diagnosis device.
　本発明の一形態における劣化診断方法は、
構造物における診断の対象となる部分の劣化度の履歴を保存し、
履歴に基づいて、部分の劣化速度を算出し、
劣化度に関連する条件、及び、劣化速度に関連する条件を満足する部分を選択し、
選択された部分に関連する情報を出力する。 The deterioration diagnosis method in one embodiment of the present invention is
Save the history of deterioration of the part to be diagnosed in the structure,
Calculate the deterioration rate of the part based on the history,
Select the part that satisfies the conditions related to the degree of deterioration and the conditions related to the deterioration rate.
Outputs information related to the selected part.
　本発明の一形態における記録媒体は、
構造物における診断の対象となる部分の劣化度の履歴を保存する処理と、
履歴に基づいて、部分の劣化速度を算出する処理と、
劣化度に関連する条件、及び、劣化速度に関連する条件を満足する部分を選択する処理と、
選択された部分に関連する情報を出力する処理と
をコンピュータに実行させるプログラムを記録する。 The recording medium in one embodiment of the present invention is
Processing to save the history of deterioration of the part to be diagnosed in the structure,
The process of calculating the deterioration rate of the part based on the history,
A process of selecting a part that satisfies the conditions related to the degree of deterioration and the conditions related to the deterioration rate, and
Record a program that causes the computer to perform a process that outputs information related to the selected part.
　本発明に基づけば、劣化診断の結果を用いた絞り込みに加え、劣化診断の対象となる部分をさらに絞り込むとの効果を奏することができる。 Based on the present invention, in addition to the narrowing down using the result of the deterioration diagnosis, it is possible to achieve the effect of further narrowing down the part to be the target of the deterioration diagnosis.
図１は、第１の実施形態にかかる劣化診断装置を含む劣化診断システムの構成の一例を示すブロック図である。FIG. 1 is a block diagram showing an example of the configuration of a deterioration diagnosis system including the deterioration diagnosis device according to the first embodiment. 図２は、劣化診断装置の動作の一例を示すフロー図である。FIG. 2 is a flow chart showing an example of the operation of the deterioration diagnosis device. 図３は、選択条件の表示の一例を示す図である。FIG. 3 is a diagram showing an example of display of selection conditions. 図４は、具体例の説明に用いる部分の表示の一例を示す図である。FIG. 4 is a diagram showing an example of display of a portion used for explaining a specific example. 図５は、劣化度の「大」を選択する場合の操作の一例を示す図である。FIG. 5 is a diagram showing an example of an operation when selecting “Large” of the degree of deterioration. 図６は、劣化度が大である部分が選択された場合の表示の一例を示す図である。FIG. 6 is a diagram showing an example of display when a portion having a large degree of deterioration is selected. 図７は、図５の状態において、さらに劣化速度の「大」を選択する場合の操作の一例を示す図である。FIG. 7 is a diagram showing an example of an operation when a “large” deterioration rate is selected in the state of FIG. 図８は、劣化度が大である部分が選択された場合において、さらに、劣化速度が大の部分が選択された場合の表示の一例を示す図である。FIG. 8 is a diagram showing an example of a display when a portion having a large degree of deterioration is selected and a portion having a large degree of deterioration is further selected. 図９は、劣化曲線の一例を示す図である。FIG. 9 is a diagram showing an example of a deterioration curve. 図１０は、劣化診断装置における選択を説明するための図である。FIG. 10 is a diagram for explaining selection in the deterioration diagnostic apparatus. 図１１は、劣化診断装置が出力する劣化速度に関連する情報を説明するための図である。FIG. 11 is a diagram for explaining information related to the deterioration rate output by the deterioration diagnosis device. 図１２は、劣化診断装置のハードウェア構成の一例を示すブロック図である。FIG. 12 is a block diagram showing an example of the hardware configuration of the deterioration diagnosis device. 図１３は、第２の実施形態にかかる劣化診断装置の構成の一例を示すブロック図である。FIG. 13 is a block diagram showing an example of the configuration of the deterioration diagnosis device according to the second embodiment. 図１４は、第２の実施形態にかかる劣化診断装置の動作の一例を示すフロー図である。FIG. 14 is a flow chart showing an example of the operation of the deterioration diagnosis device according to the second embodiment. 図１５は、第２の実施形態にかかる劣化診断装置を含む劣化診断システムの構成の一例を示すブロック図である。FIG. 15 is a block diagram showing an example of the configuration of a deterioration diagnosis system including the deterioration diagnosis device according to the second embodiment. 図１６は、ＩＴＳの概要を示す図である。FIG. 16 is a diagram showing an outline of ITS.
　次に、本発明の実施形態について図面を参照して説明する。 Next, an embodiment of the present invention will be described with reference to the drawings.
　なお、各図面は、本発明の実施形態を説明するためのものである。ただし、本発明は、各図面の記載に限られるわけではない。また、各図面の同様の構成には、同じ番号を付し、その繰り返しの説明を、省略する場合がある。また、以下の説明に用いる図面において、本発明の説明に関係しない部分の構成については、記載を省略し、図示しない場合もある。 Note that each drawing is for explaining an embodiment of the present invention. However, the present invention is not limited to the description of each drawing. Further, similar configurations of the drawings may be given the same number, and the repeated description thereof may be omitted. Further, in the drawings used in the following description, the description of the configuration of the portion not related to the description of the present invention may be omitted and not shown.
　＜用語＞
　まず、各実施形態の説明における用語について説明する。 <Terminology>
First, terms in the description of each embodiment will be described.
　「劣化度」とは、構造物における診断の対象となる部分における劣化診断の結果（例えば、劣化の程度）である。 The "deterioration degree" is the result of the deterioration diagnosis (for example, the degree of deterioration) in the part of the structure to be diagnosed.
　「劣化度」の表現形式は、任意である。例えば、劣化度として、数値が用いられてもよい。あるいは、劣化度として、数値以外が用いられてもよい。例えば、劣化度として、｛小、中、大｝のような文字が用いられてもよい。 The expression format of "deterioration degree" is arbitrary. For example, a numerical value may be used as the degree of deterioration. Alternatively, a degree of deterioration other than a numerical value may be used. For example, as the degree of deterioration, characters such as {small, medium, large} may be used.
　各実施形態は、構造物における診断の対象となる部分を含む画像に所定の解析手法を適用して、各部分の劣化度を算出する。なお、各実施形態の対象となる構造物は、任意である。例えば、構造物は、道路（例えば、路面、標識、並びに、トンネルなどの天井及び側壁）、鉄道、港湾、ダム、及び通信施設などの社会基盤における構造物でもよい。あるいは、構造物は、学校、病院、公園、及び、社会福祉施設など生活関連の社会資本における構造物でもよい。 In each embodiment, a predetermined analysis method is applied to an image including a part to be diagnosed in the structure, and the degree of deterioration of each part is calculated. The structure to be the target of each embodiment is arbitrary. For example, the structure may be a structure in a social infrastructure such as a road (for example, a road surface, a sign, and a ceiling and a side wall such as a tunnel), a railroad, a port, a dam, and a communication facility. Alternatively, the structure may be a structure in life-related social capital such as schools, hospitals, parks, and social welfare facilities.
　ただし、各実施形態は、画像以外の情報を用いて劣化度を算出してもよい。例えば、各実施形態は、加速度センサなどを用いて検出した加速度を用いて、劣化度を算出してもよい。なお、各実施形態は、部分ごとではなく、構造物全体に対して、劣化度を算出してもよい。 However, in each embodiment, the degree of deterioration may be calculated using information other than the image. For example, in each embodiment, the degree of deterioration may be calculated using the acceleration detected by using an acceleration sensor or the like. In each embodiment, the degree of deterioration may be calculated for the entire structure, not for each part.
　なお、劣化度の値の範囲は、任意である。 The range of deterioration degree values is arbitrary.
　例えば、各実施形態は、劣化度として、路面のひび割れ率を用いてもよい。この場合、劣化度の値は、０．０から１．０（０％から１００％）の範囲となる。 For example, in each embodiment, the crack rate of the road surface may be used as the degree of deterioration. In this case, the deterioration degree value is in the range of 0.0 to 1.0 (0% to 100%).
　あるいは、各実施形態は、劣化度として、わだち掘れ量を用いてもよい。この場合、劣化度の値は、一般的に、０以上の整数（単位は、ｍｍ）となる。なお、わだち掘れ量の値としては、有理数が用いられてもよい。 Alternatively, in each embodiment, the amount of rutting may be used as the degree of deterioration. In this case, the deterioration degree value is generally an integer of 0 or more (unit: mm). A rational number may be used as the value of the rut digging amount.
　あるいは、各実施形態は、劣化度として、国際ラフネス指数（ＩＲＩ：Ｉｎｔｅｒｎａｉｏｎａｌ　Ｒｏｕｇｈｎｅｓｓ　Ｉｎｄｅｘ）を用いてもよい。この場合、劣化度の値は、０以上の有理数（単位は、ｍｍ／ｍ）となる。 Alternatively, each embodiment may use the International Roughness Index (IRI: International Roughness Index) as the degree of deterioration. In this case, the value of the degree of deterioration is a rational number (unit: mm / m) of 0 or more.
　あるいは、各実施形態は、劣化度として、維持管理指数（Ｍａｉｎｔｅｎａｎｃｅ　Ｃｏｎｔｏｒｌ　Ｉｎｄｅｘ（ＭＣＩ））を用いてもよい。ＭＣＩは、ひび割れ率、わだち掘れ量、及び、平たん性から求められる複合劣化指標である。 Alternatively, each embodiment may use a maintenance index (Maintenance Control Index (MCI)) as the degree of deterioration. MCI is a composite deterioration index obtained from the crack rate, the amount of rutting, and the flatness.
　このように、劣化度の値の範囲は、任意である。各実施形態の利用者が、適宜、修繕の対象となる構造物における劣化に対応した劣化度を選択すればよい。 In this way, the range of deterioration degree values is arbitrary. The user of each embodiment may appropriately select the degree of deterioration corresponding to the deterioration of the structure to be repaired.
　なお、以下の説明では、劣化度の一例として、ひび割れ率を用いて説明する。そのため、以下の説明において、劣化度は、悪化した場合に、その値が大きくなる。ただし、劣化度の値としては、劣化度を用いる処理の関係で、悪化した場合にその値が小さくなるような数値が用いられてもよい。 In the following description, the crack rate will be used as an example of the degree of deterioration. Therefore, in the following description, the degree of deterioration increases in value when it deteriorates. However, as the value of the degree of deterioration, a numerical value may be used so that the value becomes smaller when the degree of deterioration is deteriorated due to the processing using the degree of deterioration.
　「劣化速度」とは、劣化度の時間に対する変化の程度である。 "Deterioration rate" is the degree of change in the degree of deterioration over time.
　なお、各実施形態において、劣化速度は、時間的に一定でもよく、変化してもよい。利用者が、診断対象に沿って、劣化速度の種類を選択すればよい。 In each embodiment, the deterioration rate may be constant over time or may change. The user may select the type of deterioration rate according to the diagnosis target.
　例えば、劣化速度としては、線形回帰など、直線近似が用いられてもよい。あるいは、劣化速度として、二次曲線（二次回帰）が用いられてもよい。 For example, as the deterioration rate, linear approximation such as linear regression may be used. Alternatively, a quadratic curve (quadratic regression) may be used as the deterioration rate.
　なお、各実施形態は、以下で説明するように、診断対象の部分の選択の条件として、「劣化度」及び「劣化速度」を用いる。ただし、これは、各実施形態を限定するものではない。各実施形態は、２つ以上の選択の条件を用いれば、「劣化度」及び「劣化速度」のどちらか又は両方を用いなくてもよい。 In each embodiment, as described below, "deterioration degree" and "deterioration rate" are used as conditions for selecting the portion to be diagnosed. However, this does not limit each embodiment. In each embodiment, it is not necessary to use either or both of "deterioration degree" and "deterioration rate" if two or more selection conditions are used.
　また、以下の説明において、「劣化度」の「大」の選択に加え、「劣化速度」の「大」を選択する場合を説明する。ただし、各実施形態における選択は、これらに限定されない。例えば、各実施形態は、「劣化度」の「小」又は「中」となっている部分の中から、「劣化速度」の「大」となっている部分を選択してもよい。このような部分は、現時点において修繕が必要ではないが、近い将来において、修繕が必要となる可能性が高い部分である。 Further, in the following description, a case where "large" of "deterioration rate" is selected in addition to selection of "large" of "deterioration degree" will be described. However, the selection in each embodiment is not limited to these. For example, in each embodiment, a portion having a “deterioration rate” of “large” may be selected from the portions having a “deterioration degree” of “small” or “medium”. Such parts do not require repair at this time, but are likely to need repair in the near future.
　さらに、各実施形態は、複数の劣化に対応した劣化度を用いてもよい。例えば、各実施形態は、劣化として、ひび割れ率と、わだち掘れ量とを用いてもよい。この場合、各実施形態は、劣化それぞれに対する劣化度及び劣化速度を用いた選択を、組み合わせればよい。なお、以下の説明では、説明を明確とするため、一つの劣化を用いる場合を説明する。 Further, in each embodiment, the degree of deterioration corresponding to a plurality of deteriorations may be used. For example, in each embodiment, the crack rate and the rutting amount may be used as the deterioration. In this case, each embodiment may combine selections using the degree of deterioration and the rate of deterioration for each deterioration. In the following description, in order to clarify the description, a case where one deterioration is used will be described.
　＜第１の実施形態＞
　以下、図面を参照して、第１の実施形態について説明する。 <First Embodiment>
Hereinafter, the first embodiment will be described with reference to the drawings.
　［構成の説明］
　まず、第１の実施形態にかかる劣化診断装置１００の構成について、図面を参照して説明する。 [Description of configuration]
First, the configuration of the deterioration diagnosis device 100 according to the first embodiment will be described with reference to the drawings.
　図１は、第１の実施形態にかかる劣化診断装置１００を含む劣化診断システム１０の構成の一例を示すブロック図である。 FIG. 1 is a block diagram showing an example of the configuration of the deterioration diagnosis system 10 including the deterioration diagnosis device 100 according to the first embodiment.
　劣化診断システム１０は、劣化診断装置１００と、撮像装置２００と、表示装置３００と、入力装置３１０とを含む。 The deterioration diagnosis system 10 includes a deterioration diagnosis device 100, an image pickup device 200, a display device 300, and an input device 310.
　撮像装置２００は、構造物（例えば、路面、標識、天井、及び／又は、側壁）における診断の対象となる部分を含む画像を撮影する。 The image pickup device 200 captures an image including a portion of a structure (for example, a road surface, a sign, a ceiling, and / or a side wall) to be diagnosed.
　劣化診断システム１０は、撮像装置２００として、診断の対象となる部分を含む画像を撮影できれば、任意の装置を利用可能である。例えば、劣化診断システム１０は、撮像装置２００として、自動車事故発生時の状況記録を目的に設置されているドライブレコーダを用いてもよい。あるいは、劣化診断システム１０は、撮像装置２００として、風景を撮影するカメラ（例えば、全天球カメラ）を用いてもよい。 The deterioration diagnosis system 10 can use any device as the image pickup device 200 as long as it can capture an image including a portion to be diagnosed. For example, the deterioration diagnosis system 10 may use a drive recorder installed for the purpose of recording a situation at the time of a car accident as the image pickup device 200. Alternatively, the deterioration diagnosis system 10 may use a camera that captures a landscape (for example, an omnidirectional camera) as the image pickup device 200.
　あるいは、撮像装置２００は、高度道路交通システム（ＩＴＳ：Ｉｎｔｅｌｌｉｇｅｎｔ　Ｔｒａｎｓｐｏｒｔ　Ｓｙｓｔｅｍ）などに用いられる車両に搭載された撮像装置でもよい。なお、高度道路交通システム（ＩＴＳ）とは、情報技術（ＩＴ：Ｉｎｆｏｒｍａｔｉｏｎ　Ｔｅｃｈｎｏｌｏｇｙ）を利用した交通システムである。 Alternatively, the image pickup device 200 may be an image pickup device mounted on a vehicle used in an intelligent transportation system (ITS) or the like. Intelligent Transport Systems (ITS) is a transportation system that uses information technology (IT: Information Technology).
　図１６は、ＩＴＳの概要を示す図である。 FIG. 16 is a diagram showing an outline of ITS.
　情報処理装置４１０は、ネットワーク４２０及び／又は通信路４３０を介して、車両４４０から情報を収集する。そして、情報処理装置４１０は、収集した情報に基づいて、道路などに設置された設備４５０を制御して、所定の処理（例えば、安全運転の支援、又は、道路の管理）を実行する。なお、設備４５０は、任意である。図１６は、設備４５０の一例として、信号機、及び、電子料金収受システム（Ｅｌｅｃｔｒｏｎｉｃ　Ｔｏｌｌ　Ｃｏｌｌｅｃｔｉｏｎ　Ｓｙｓｔｅｍ（図１６では、ＥＴＣ））を示している。 The information processing device 410 collects information from the vehicle 440 via the network 420 and / or the communication path 430. Then, the information processing device 410 controls the equipment 450 installed on the road or the like based on the collected information to execute a predetermined process (for example, support for safe driving or management of the road). The equipment 450 is optional. FIG. 16 shows a traffic light and an electronic toll collection system (Electronic Toll Collection System (ETC in FIG. 16)) as an example of the equipment 450.
　あるいは、劣化診断システム１０は、撮像装置２００として、自動運転に用いられるカメラを用いてもよい。このように、劣化診断システム１０は、自動運転のシステムに用いられてもよい。 Alternatively, the deterioration diagnosis system 10 may use a camera used for automatic driving as the image pickup device 200. As described above, the deterioration diagnosis system 10 may be used in an automatic driving system.
　図１を参照した説明に戻る。 Return to the explanation with reference to Fig. 1.
　そして、撮像装置２００は、撮影した画像を、撮影時間とともに、劣化診断装置１００に送信する。 Then, the imaging device 200 transmits the captured image to the deterioration diagnosis device 100 together with the photographing time.
　なお、劣化診断装置１００が、撮像装置２００を含んでいてもよい。 The deterioration diagnosis device 100 may include the image pickup device 200.
　入力装置３１０は、劣化診断装置１００に対して、利用者などから、劣化診断の対象となった部分を選択するための条件（以下、「選択条件」と呼ぶ）の入力を受け付ける。そして、入力装置３１０は、受け付けた選択条件を、劣化診断装置１００に送信する。 The input device 310 receives input from a user or the like to the deterioration diagnosis device 100 of conditions for selecting a portion subject to deterioration diagnosis (hereinafter, referred to as "selection condition"). Then, the input device 310 transmits the accepted selection condition to the deterioration diagnosis device 100.
　以下で説明する通り、劣化診断装置１００は、劣化診断の対象となった部分の選択において、少なくとも二つ以上の条件を用いる。そのため、選択条件は、複数の条件を含む。 As described below, the deterioration diagnosis device 100 uses at least two or more conditions in selecting the portion subject to the deterioration diagnosis. Therefore, the selection condition includes a plurality of conditions.
　入力装置３１０は、劣化診断装置１００に、二つ以上の条件をまとめて送信してもよく、個別に条件を送信してもよい。 The input device 310 may transmit two or more conditions together to the deterioration diagnosis device 100, or may transmit the conditions individually.
　また、選択条件が変更された場合、入力装置３１０は、劣化診断装置１００に、変更後の選択条件を送信してもよく、選択条件における変更内容を送信してもよい。 Further, when the selection condition is changed, the input device 310 may transmit the changed selection condition to the deterioration diagnosis device 100, or may transmit the changed content in the selection condition.
　なお、入力装置３１０は、入力を受け付けるために必要となる情報を表示してもよい。例えば、入力装置３１０は、液晶ディスプレイなどの表示機器を含んでいてもよい。あるいは、入力装置３１０は、表示装置３００と連携して、入力を受け付けてもよい。 Note that the input device 310 may display information required for receiving the input. For example, the input device 310 may include a display device such as a liquid crystal display. Alternatively, the input device 310 may accept input in cooperation with the display device 300.
　なお、劣化診断装置１００が、入力装置３１０を含んでいてもよい。例えば、入力装置３１０は、キーボード、マウス、又は、タッチパッドでもよい。 The deterioration diagnosis device 100 may include an input device 310. For example, the input device 310 may be a keyboard, mouse, or touchpad.
　表示装置３００は、後ほど説明する劣化診断装置１００の出力（少なくとも、選択された部分に関連する情報）を受信し、受信した劣化診断装置１００の出力を用いて部分を表示する。 The display device 300 receives the output of the deterioration diagnosis device 100 (at least the information related to the selected portion), which will be described later, and displays the portion using the output of the received deterioration diagnosis device 100.
　なお、劣化診断システム１０は、表示装置３００として、劣化診断装置１００の出力を表示できれば、任意の装置を利用可能である。例えば、劣化診断システム１０は、表示装置３００として、道路の修繕及び補修を管理するシステムに含まれる表示装置を用いてもよい。あるいは、劣化診断システム１０は、表示装置３００として、利用者が携帯する端末装置の表示機器（例えば、端末の液晶ディスプレイ）を用いてもよい。 The deterioration diagnosis system 10 can use any device as the display device 300 as long as it can display the output of the deterioration diagnosis device 100. For example, the deterioration diagnosis system 10 may use as the display device 300 a display device included in a system for managing road repairs and repairs. Alternatively, the deterioration diagnosis system 10 may use the display device of the terminal device carried by the user (for example, the liquid crystal display of the terminal) as the display device 300.
　なお、劣化診断装置１００が、表示装置３００を含んでいてもよい。例えば、表示装置３００は、液晶ディスプレイ、有機エレクトロルミネッセンス・ディスプレイ、又は、電子ペーパーでもよい。 The deterioration diagnosis device 100 may include the display device 300. For example, the display device 300 may be a liquid crystal display, an organic electroluminescence display, or electronic paper.
　なお、上記のように、表示装置３００は、入力装置３１０における入力の補助となる情報を表示してもよい。 As described above, the display device 300 may display information that assists the input in the input device 310.
　あるいは、表示装置３００及び入力装置３１０は、異なる装置ではなく、一つの装置に含まれていてもよい。例えば、表示装置３００及び入力装置３１０は、液晶ディスプレイ、キーボード、及び、マウスを備えるコンピュータ装置を用いて実現されてもよい。あるいは、表示装置３００及び入力装置３１０は、タッチパッドと液晶ディスプレイとを備えたタッチパネルを用いて実現されてもよい。 Alternatively, the display device 300 and the input device 310 may be included in one device instead of different devices. For example, the display device 300 and the input device 310 may be realized by using a computer device including a liquid crystal display, a keyboard, and a mouse. Alternatively, the display device 300 and the input device 310 may be realized by using a touch panel including a touch pad and a liquid crystal display.
　劣化診断装置１００は、撮像装置２００から画像を取得する。そして、劣化診断装置１００は、画像に含まれる診断の対象となる部分の劣化度を算出する。さらに、劣化診断装置１００は、撮影時間に基づいて、算出した劣化度を履歴として保存する。そして、劣化診断装置１００は、履歴に基づいて、劣化速度を算出する。そして、劣化診断装置１００は、劣化度及び劣化速度が選択条件を満足する部分を選択する。そして、劣化診断装置１００は、選択した部分に関連する情報（例えば、選択された部分の位置に関連する情報）を表示装置３００に送信する。 The deterioration diagnosis device 100 acquires an image from the image pickup device 200. Then, the deterioration diagnosis device 100 calculates the degree of deterioration of the portion to be diagnosed included in the image. Further, the deterioration diagnosis device 100 stores the calculated deterioration degree as a history based on the photographing time. Then, the deterioration diagnosis device 100 calculates the deterioration rate based on the history. Then, the deterioration diagnosis device 100 selects a portion where the degree of deterioration and the deterioration rate satisfy the selection conditions. Then, the deterioration diagnosis device 100 transmits information related to the selected portion (for example, information related to the position of the selected portion) to the display device 300.
　次に、劣化診断装置１００の構成について説明する。 Next, the configuration of the deterioration diagnosis device 100 will be described.
　劣化診断装置１００は、画像取得部１１０と、劣化度算出部１２０と、劣化情報保存部１３０と、劣化速度算出部１４０と、部分選択部１５０と、出力部１６０とを含む。 The deterioration diagnosis device 100 includes an image acquisition unit 110, a deterioration degree calculation unit 120, a deterioration information storage unit 130, a deterioration speed calculation unit 140, a partial selection unit 150, and an output unit 160.
　画像取得部１１０は、構造物における診断の対象となる部分（例えば、道路の路面、又は、トンネルの側壁及び天井）を含む画像と、画像の撮影時間とを取得する。画像取得部１１０は、診断の対象となる部分の位置に関連する情報（以下、「位置情報」と呼ぶ）を取得してもよい。位置情報は、例えば、その部分の緯度及び経度である。位置情報は、その部分の方向を含んでいてもよい。 The image acquisition unit 110 acquires an image including a part of the structure to be diagnosed (for example, a road surface or a side wall and a ceiling of a tunnel) and an image shooting time. The image acquisition unit 110 may acquire information related to the position of the portion to be diagnosed (hereinafter, referred to as “position information”). The position information is, for example, the latitude and longitude of the portion. The position information may include the direction of the portion.
　劣化度算出部１２０は、所定の手法を用いて、診断の対象となる部分の劣化度を算出する。 The deterioration degree calculation unit 120 calculates the deterioration degree of the portion to be diagnosed by using a predetermined method.
　なお、劣化度算出部１２０が劣化度の算出に用いる手法は、任意である。例えば、劣化度算出部１２０は、所定の画像認識を用いて画像に含まれる路面の面積とひび割れの面積とを算出する。そして、劣化度算出部１２０は、劣化度として、算出した路面の面積とひび割れの面積とに基づいて、路面のひび割れ率を算出する。 The method used by the deterioration degree calculation unit 120 to calculate the deterioration degree is arbitrary. For example, the deterioration degree calculation unit 120 calculates the area of the road surface and the area of cracks included in the image by using a predetermined image recognition. Then, the deterioration degree calculation unit 120 calculates the crack rate of the road surface as the deterioration degree based on the calculated road surface area and the crack area.
　劣化度算出部１２０は、所定の機械学習又は人工知能を用いて、劣化度を算出してもよい。なお、劣化度算出部１２０は、所定の画像認識、機械学習、又は、人工知能を用いて、画像に含まれる劣化の種類（例えば、ひび割れ、又は、わだち掘れ）を判定し、判定した劣化における劣化度を算出してもよい。なお、画像は情報として、撮影時間及び位置情報を含んでいてもよい。 The deterioration degree calculation unit 120 may calculate the deterioration degree by using predetermined machine learning or artificial intelligence. The deterioration degree calculation unit 120 uses predetermined image recognition, machine learning, or artificial intelligence to determine the type of deterioration contained in the image (for example, cracking or rutting), and the determined deterioration is achieved. The degree of deterioration may be calculated. The image may include shooting time and position information as information.
　なお、画像に、診断の対象として複数の部分が含まれる場合がある。その場合、劣化度算出部１２０は、全ての部分に対して、劣化度を算出してもよい。あるいは、劣化度算出部１２０は、所定の選択規則に沿って選択された部分に対して、劣化度を算出してもよい。 Note that the image may contain multiple parts for diagnosis. In that case, the deterioration degree calculation unit 120 may calculate the deterioration degree for all the parts. Alternatively, the deterioration degree calculation unit 120 may calculate the deterioration degree with respect to the portion selected according to a predetermined selection rule.
　劣化度算出部１２０は、算出した劣化度と撮影時間とを用いて、部分に対応した劣化度の履歴を、劣化情報保存部１３０に保存する。 The deterioration degree calculation unit 120 uses the calculated deterioration degree and the shooting time to store the history of the deterioration degree corresponding to the portion in the deterioration information storage unit 130.
　診断の対象となる部分が複数の場合、劣化度算出部１２０は、各部分に対応した履歴を、劣化情報保存部１３０に保存する。例えば、劣化度算出部１２０は、診断の対象となる部分の位置情報を用いて、各位置における劣化度の履歴を保存してもよい。 When there are a plurality of parts to be diagnosed, the deterioration degree calculation unit 120 stores the history corresponding to each part in the deterioration information storage unit 130. For example, the deterioration degree calculation unit 120 may save the history of the deterioration degree at each position by using the position information of the portion to be diagnosed.
　劣化診断装置１００における位置情報の取得元は、任意である。例えば、画像取得部１１０が、撮像装置２００から位置情報を取得してもよい。あるいは、図示しない位置算出装置が、取得した画像と、位置と画像とを関連付けた地図情報とを用いて、位置情報を算出してもよい。 The acquisition source of the position information in the deterioration diagnosis device 100 is arbitrary. For example, the image acquisition unit 110 may acquire position information from the image pickup apparatus 200. Alternatively, a position calculation device (not shown) may calculate the position information by using the acquired image and the map information in which the position and the image are associated with each other.
　劣化情報保存部１３０は、劣化度の履歴を保存する。 The deterioration information storage unit 130 stores the history of the degree of deterioration.
　劣化速度算出部１４０は、保存されている履歴を用いて、劣化速度を算出する。 The deterioration rate calculation unit 140 calculates the deterioration rate using the stored history.
　診断の対象となる部分が複数の場合、劣化速度算出部１４０は、部分それぞれに対する劣化速度を算出する。 When there are a plurality of parts to be diagnosed, the deterioration rate calculation unit 140 calculates the deterioration rate for each part.
　劣化速度算出部１４０は、算出した劣化速度を、診断の対象となる部分に関連付けて、劣化情報保存部１３０に保存する。あるいは、劣化速度算出部１４０は、図示しない記憶装置に劣化速度を保存してもよい。あるいは、劣化速度算出部１４０は、算出した劣化速度を、部分選択部１５０に出力してもよい。 The deterioration rate calculation unit 140 stores the calculated deterioration rate in the deterioration information storage unit 130 in association with the portion to be diagnosed. Alternatively, the deterioration rate calculation unit 140 may store the deterioration rate in a storage device (not shown). Alternatively, the deterioration rate calculation unit 140 may output the calculated deterioration rate to the partial selection unit 150.
　劣化速度算出部１４０における劣化速度を算出するやり方は、任意である。例えば、劣化速度算出部１４０は、履歴に、所定の回帰分析（例えば、線形回帰、又は、二次曲線回帰）を適用して、劣化速度を算出してもよい。 The method of calculating the deterioration rate in the deterioration rate calculation unit 140 is arbitrary. For example, the deterioration rate calculation unit 140 may apply a predetermined regression analysis (for example, linear regression or quadratic curve regression) to the history to calculate the deterioration rate.
　あるいは、劣化速度算出部１４０は、劣化速度の算出に、所定の機械学習、又は、人工知能を用いてもよい。 Alternatively, the deterioration rate calculation unit 140 may use predetermined machine learning or artificial intelligence to calculate the deterioration rate.
　部分選択部１５０は、入力装置３１０から選択条件を受信する。以下の説明では、選択条件は、少なくとも、劣化度に関連する条件（以下、「劣化度条件」と呼ぶ）と、劣化速度に関連する条件（以下、「劣化速度条件」と呼ぶ）とを含むとする。ただし、すでに説明した通り、選択条件は、別の条件を含んでもよい。なお、部分選択部１５０は、３つ以上の条件を含む選択条件を受信してもよい。 The partial selection unit 150 receives the selection condition from the input device 310. In the following description, the selection condition includes at least a condition related to the degree of deterioration (hereinafter referred to as “deterioration degree condition”) and a condition related to the deterioration rate (hereinafter referred to as “deterioration rate condition”). And. However, as described above, the selection condition may include another condition. The partial selection unit 150 may receive selection conditions including three or more conditions.
　なお、部分選択部１５０は、劣化度条件及び劣化速度条件の両方を含む選択条件を受信してもよい。あるいは、部分選択部１５０は、劣化度条件を含む選択条件と、劣化速度条件を含む選択条件とを、別々に受信してもよい。 The partial selection unit 150 may receive a selection condition including both a deterioration degree condition and a deterioration rate condition. Alternatively, the partial selection unit 150 may separately receive the selection condition including the deterioration degree condition and the selection condition including the deterioration rate condition.
　そして、部分選択部１５０は、診断の対象となる部分の中から、算出された劣化度及び劣化速度が、選択条件（劣化度条件及び劣化速度条件）を満足する部分を選択する。 Then, the partial selection unit 150 selects a portion where the calculated deterioration degree and deterioration rate satisfy the selection conditions (deterioration degree condition and deterioration rate condition) from the parts to be diagnosed.
　部分選択部１５０は、劣化度条件と劣化速度条件との両方を同時に用いて部分を選択してもよい。あるいは、部分選択部１５０は、一つ選択条件を満足する部分を選択し、選択した部分の中から次の選択条件を満足する部分を選択してもよい。例えば、部分選択部１５０は、まず、劣化度条件を用いて部分を選択し、選択した部分の中から劣化速度条件を用いてさらに部分を選択してもよい。この場合、部分選択部１５０は、選択した結果を、順次、出力部１６０に送信してもよい。 The partial selection unit 150 may select a portion by using both the deterioration degree condition and the deterioration speed condition at the same time. Alternatively, the partial selection unit 150 may select a portion that satisfies one selection condition, and select a portion that satisfies the next selection condition from the selected portions. For example, the partial selection unit 150 may first select a portion using the deterioration degree condition, and then further select a portion from the selected portion using the deterioration rate condition. In this case, the partial selection unit 150 may sequentially transmit the selected results to the output unit 160.
　同様に、部分選択部１５０が３つ以上の条件を含む選択条件を受信する場合、部分選択部１５０は、全ての条件を用いて部分を選択してもよい。あるいは、部分選択部１５０は、所定の規則に沿って複数の条件を順次適用して部分を選択する動作を実行してもよい。この場合、部分選択部１５０は、選択した結果を、順次、出力部１６０に送信してもよい。 Similarly, when the partial selection unit 150 receives a selection condition including three or more conditions, the partial selection unit 150 may select a part using all the conditions. Alternatively, the partial selection unit 150 may execute an operation of sequentially applying a plurality of conditions according to a predetermined rule to select a portion. In this case, the partial selection unit 150 may sequentially transmit the selected results to the output unit 160.
　なお、部分選択部１５０は、劣化情報保存部１３０に保存されている劣化度及び劣化速度を用いて、部分を選択する。ただし、部分選択部１５０は、劣化度及び劣化速度の少なくともどちらか又は両方を、劣化度算出部１２０及び／又は劣化速度算出部１４０から取得してもよい。 The partial selection unit 150 selects a portion using the degree of deterioration and the deterioration rate stored in the deterioration information storage unit 130. However, the partial selection unit 150 may acquire at least one or both of the deterioration degree and the deterioration rate from the deterioration degree calculation unit 120 and / or the deterioration rate calculation unit 140.
　そして、部分選択部１５０は、選択された部分を出力部１６０に出力する。 Then, the partial selection unit 150 outputs the selected portion to the output unit 160.
　出力部１６０は、選択された部分に関連する情報を出力する。なお、出力部１６０は、選択した部分に関連する情報に替えて、選択しなかった部分に関連する情報を出力してもよい。さらに、一度選択した後の選択の場合、出力部１６０は、選択から外れた部分に関連する情報を出力してもよい。 The output unit 160 outputs information related to the selected part. The output unit 160 may output information related to the unselected portion instead of the information related to the selected portion. Further, in the case of selection after selection once, the output unit 160 may output information related to the portion deselected.
　出力部１６０は、出力する情報として、予め、出力先の装置と、情報の仕様を合わせておけばよい。 The output unit 160 may match the output destination device and the information specifications in advance as the information to be output.
　なお、以下の説明では、一例として、出力部１６０は、「選択された部分に関連する情報」を出力する。 In the following description, as an example, the output unit 160 outputs "information related to the selected portion".
　さらに、出力部１６０が出力する情報の内容は、任意である。劣化診断装置１００の利用者が、出力先に沿って、出力する情報を選択すればよい。 Furthermore, the content of the information output by the output unit 160 is arbitrary. The user of the deterioration diagnosis device 100 may select the information to be output according to the output destination.
　出力部１６０が出力する情報の例を説明する。 An example of the information output by the output unit 160 will be described.
　例えば、表示装置３００が、選択された部分の位置を用いて、部分を表示する場合（例えば、表示装置３００が地図上の部分に対応した位置に画像を表示する場合）、出力部１６０は、選択された部分の位置情報（例えば、緯度及び経度）を出力すればよい。 For example, when the display device 300 displays a portion using the position of the selected portion (for example, when the display device 300 displays an image at a position corresponding to the portion on the map), the output unit 160 may display the portion. The position information (for example, latitude and longitude) of the selected portion may be output.
　あるいは、例えば、表示装置３００が、地図上の各部分の位置に、各部分における劣化度を表示する場合、出力部１６０は、選択された部分の位置情報及び劣化度を出力すればよい。 Alternatively, for example, when the display device 300 displays the degree of deterioration in each part at the position of each part on the map, the output unit 160 may output the position information and the degree of deterioration of the selected part.
　出力部１６０は、選択された部分に関連する情報の出力において、情報を保存している構成、又は、情報を出力可能な構成から、適宜情報を取得すればよい。例えば、位置情報を出力する場合、出力部１６０は、画像取得部１１０、又は、劣化情報保存部１３０から位置情報を取得すればよい。 The output unit 160 may appropriately acquire information from a configuration that stores the information or a configuration that can output the information in the output of the information related to the selected portion. For example, when outputting the position information, the output unit 160 may acquire the position information from the image acquisition unit 110 or the deterioration information storage unit 130.
　［動作の説明］
　次に、第１の実施形態にかかる劣化診断装置１００の動作について、図面を参照して説明する。 [Explanation of operation]
Next, the operation of the deterioration diagnosis device 100 according to the first embodiment will be described with reference to the drawings.
　図２は、劣化診断装置１００の動作の一例を示すフロー図である。 FIG. 2 is a flow chart showing an example of the operation of the deterioration diagnosis device 100.
　画像取得部１１０は、診断の対象となる部分を含む画像を取得する（ステップＳ５０１）。 The image acquisition unit 110 acquires an image including a portion to be diagnosed (step S501).
　劣化度算出部１２０は、画像を用いて、劣化度を算出する（ステップＳ５０３）。 The deterioration degree calculation unit 120 calculates the deterioration degree using the image (step S503).
　劣化情報保存部１３０は、劣化度を、履歴として保存する（ステップＳ５０５）。 The deterioration information storage unit 130 stores the degree of deterioration as a history (step S505).
　劣化速度算出部１４０は、履歴に基づいて、劣化速度を算出する（ステップＳ５０７）。 The deterioration rate calculation unit 140 calculates the deterioration rate based on the history (step S507).
　部分選択部１５０は、選択条件（劣化度に関連する条件及び劣化速度に関連する条件）を受信する。そして、部分選択部１５０は、選択条件を満足する部分を選択する（ステップＳ５０９）。 The partial selection unit 150 receives selection conditions (conditions related to the degree of deterioration and conditions related to the deterioration rate). Then, the partial selection unit 150 selects a portion that satisfies the selection condition (step S509).
　出力部１６０は、選択された部分に関連する情報を出力する（ステップＳ５１１）。 The output unit 160 outputs information related to the selected portion (step S511).
　そして、劣化診断装置１００は、動作を終了する。 Then, the deterioration diagnosis device 100 ends the operation.
　なお、劣化診断装置１００は、ステップＳ５０９及びＳ５１１の動作を繰り返してもよい。 The deterioration diagnosis device 100 may repeat the operations of steps S509 and S511.
　例えば、劣化診断装置１００は、ステップＳ５０７まで動作後、入力装置３１０からの選択条件の受信を待つ。そして、劣化診断装置１００は、入力装置３１０から選択条件を受信すると、ステップＳ５０９からＳ５１１まで動作する。そして、劣化診断装置１００は、再び、入力装置３１０からの選択条件の受信を待ってもよい。 For example, the deterioration diagnosis device 100 waits for the reception of the selection condition from the input device 310 after operating up to step S507. Then, when the deterioration diagnosis device 100 receives the selection condition from the input device 310, the deterioration diagnosis device 100 operates from steps S509 to S511. Then, the deterioration diagnosis device 100 may wait for the reception of the selection condition from the input device 310 again.
　［具体例］
　次に、劣化診断装置１００における選択の動作の具体例について、図面を参照して説明する。 [Concrete example]
Next, a specific example of the selection operation in the deterioration diagnosis device 100 will be described with reference to the drawings.
　図３は、選択条件の表示の一例を示す図である。図３は、選択条件として劣化度及び劣化速度を用いて、診断の対象となる部分を選択する場合の表示の一例である。 FIG. 3 is a diagram showing an example of display of selection conditions. FIG. 3 is an example of a display when a portion to be diagnosed is selected by using the degree of deterioration and the rate of deterioration as selection conditions.
　図３に示されている表示を用いた選択条件の入力について説明する。 The input of selection conditions using the display shown in FIG. 3 will be described.
　以下の説明は、表示装置３００及び入力装置３１０が、液晶ディスプレイ、キーボード、及び、マウスを備えるコンピュータ装置を用いて実現されているとする。 The following description assumes that the display device 300 and the input device 310 are realized by using a computer device including a liquid crystal display, a keyboard, and a mouse.
　表示装置３００が、図３に示されている選択条件を表示する。 The display device 300 displays the selection conditions shown in FIG.
　入力装置３１０は、利用者のマウス操作などに従ってカーソル（又は、マウスポインタ）を移動する。そして、入力装置３１０は、カーソルと選択条件とが重なる位置におけるボタンの押し込み（クリック）を検出すると、その位置の選択条件（例えば、劣化度大）を、劣化診断装置１００に送信する。以下の説明では、このような動作をまとめて、「利用者が選択条件を選択する」と呼ぶ場合もある。なお、図３は、カーソルとして、斜めの矢印を示している。 The input device 310 moves the cursor (or mouse pointer) according to the user's mouse operation or the like. Then, when the input device 310 detects that the button is pressed (clicked) at a position where the cursor and the selection condition overlap, the input device 310 transmits the selection condition (for example, a large degree of deterioration) at that position to the deterioration diagnosis device 100. In the following description, such operations may be collectively referred to as "the user selects a selection condition". Note that FIG. 3 shows an oblique arrow as a cursor.
　劣化診断装置１００は、受信した選択条件（例えば、劣化度大）を満足する部分を選択する。そして、劣化診断装置１００は、選択した部分に関連する情報を、表示装置３００に送信する。 The deterioration diagnosis device 100 selects a portion that satisfies the received selection condition (for example, a large degree of deterioration). Then, the deterioration diagnosis device 100 transmits information related to the selected portion to the display device 300.
　表示装置３００は、劣化診断装置１００から受信した情報を用いて、表示を変更する。 The display device 300 changes the display using the information received from the deterioration diagnosis device 100.
　図４は、以降の具体例の説明に用いる部分の表示の一例を示す図である。図４は、診断の対象として、道路を用いた場合の一例である。 FIG. 4 is a diagram showing an example of display of a part used for the explanation of the following specific examples. FIG. 4 shows an example when a road is used as a diagnosis target.
　図４において、各矢印が、各部分における診断の結果である。黒塗りの矢印が、劣化度が大の部分を示す。グレーの矢印が、劣化度が中の部分を示す。白抜きの矢印が、劣化度が小の部分を示す。 In FIG. 4, each arrow is the result of diagnosis in each part. The black arrows indicate the majority of the deterioration. The gray arrow indicates the part where the degree of deterioration is medium. White arrows indicate areas where the degree of deterioration is small.
　図５は、劣化度の「大」を選択する場合の操作の一例を示す図である。図５に示すように、利用者が入力装置３１０において劣化度の「大」を選択すると、入力装置３１０は、劣化診断装置１００に、選択条件として「劣化度大」を送信する。なお、図５は、選択されている選択条件（劣化度の大）を反転表示している。 FIG. 5 is a diagram showing an example of an operation when selecting "Large" of the degree of deterioration. As shown in FIG. 5, when the user selects "high degree of deterioration" in the input device 310, the input device 310 transmits "high degree of deterioration" as a selection condition to the deterioration diagnosis device 100. Note that FIG. 5 highlights the selected selection conditions (large degree of deterioration).
　劣化診断装置１００は、選択条件として、「劣化度大」を受信すると、劣化度が「大」となっている部分を選択し、選択した部分に関連する情報を出力する。 When the deterioration diagnosis device 100 receives "high degree of deterioration" as a selection condition, it selects a part having a high degree of deterioration and outputs information related to the selected part.
　図６は、劣化度が大である部分が選択された場合の表示の一例を示す図である。図６は、劣化度が大の選択の一例として、それ以外の部分（劣化度が小及び中の部分）の表示を変更している。劣化度が小の部分において、矢印の輪郭が、破線となっている。劣化度が中の部分においては、矢印の輪郭が破線となり、さらに内部が、グレーの斜線となっている。 FIG. 6 is a diagram showing an example of display when a portion having a large degree of deterioration is selected. In FIG. 6, as an example of selection with a large degree of deterioration, the display of other parts (parts with a small degree of deterioration and a medium degree of deterioration) is changed. In the part where the degree of deterioration is small, the outline of the arrow is a broken line. In the part where the degree of deterioration is medium, the outline of the arrow is a broken line, and the inside is a gray diagonal line.
　なお、表示装置３００における表示は、上記に限定されない。例えば、表示装置３００は、劣化度が大となっている部分を残し、その他の部分の表示をやめてもよい。あるいは、表示装置３００は、劣化度が大となっている部分の表示を変更してもよい。例えば、表示装置３００は、劣化度が大となっている部分を点滅させてもよい。あるいは、表示装置３００は、劣化度が大となっている部分の図形を拡大してもよい。 The display on the display device 300 is not limited to the above. For example, the display device 300 may leave the portion where the degree of deterioration is large and stop displaying the other portion. Alternatively, the display device 300 may change the display of the portion where the degree of deterioration is large. For example, the display device 300 may blink the portion where the degree of deterioration is large. Alternatively, the display device 300 may enlarge the figure of the portion where the degree of deterioration is large.
　劣化診断装置１００は、さらに、診断対象となる部分を絞り込むことができる。 The deterioration diagnosis device 100 can further narrow down the part to be diagnosed.
　図７は、図５の状態において、さらに劣化速度の「大」を選択する場合の操作の一例を示す図である。図７に示すように、利用者が劣化速度の「大」を選択すると、入力装置３１０は、選択条件として「劣化速度大」を送信する。なお、入力装置３１０は、選択条件として、「劣化速度大」とともに、すでに選択されている「劣化度大」を送信してもよい。なお、図７は、選択されている選択条件（劣化度大、及び、劣化速度大）を反転表示している。 FIG. 7 is a diagram showing an example of an operation when further selecting “Large” for the deterioration rate in the state of FIG. As shown in FIG. 7, when the user selects "high deterioration rate", the input device 310 transmits "high deterioration rate" as a selection condition. The input device 310 may transmit the already selected "high degree of deterioration" together with "high deterioration rate" as a selection condition. Note that FIG. 7 highlights the selected selection conditions (high degree of deterioration and high deterioration rate).
　劣化診断装置１００は、選択条件として、「劣化速度大」を受信する。そして、劣化診断装置１００は、選択済みの劣化度が「大」の部分の中から、劣化速度が「大」となっている部分を選択し、選択した部分に関連する情報を出力する。 The deterioration diagnosis device 100 receives "high deterioration rate" as a selection condition. Then, the deterioration diagnosis device 100 selects a portion having a deterioration rate of "large" from the selected portions having a deterioration degree of "large", and outputs information related to the selected portion.
　図８は、劣化度が大である部分が選択された場合において、さらに、劣化速度が大の部分が選択された場合の表示の一例を示す図である。図８は、劣化速度が大の選択の一例として、図６の表示に加え、劣化度が大となっている部分の中で、劣化速度が大ではない部分（劣化速度が小及び中の部分）の表示を変更している。具体的には、劣化速度が大ではない部分において、矢印の内部が、斜線となっている。 FIG. 8 is a diagram showing an example of display when a portion having a large degree of deterioration is selected and further, when a portion having a large deterioration rate is selected. FIG. 8 shows, as an example of selection of a large deterioration rate, in addition to the display of FIG. ) Is changed. Specifically, the inside of the arrow is a diagonal line in the portion where the deterioration rate is not high.
　このように、表示装置３００は、劣化診断装置１００が出力する部分に関連する情報を用いて、選択条件（劣化度条件及び劣化速度条件）を満足する部分を表示する。 In this way, the display device 300 displays the portion satisfying the selection conditions (deterioration degree condition and deterioration rate condition) by using the information related to the portion output by the deterioration diagnosis device 100.
　利用者は、図８に示されているような表示を参照して、修繕が必要となる部分を把握できる。 The user can grasp the part that needs repair by referring to the display as shown in FIG.
　このように、劣化診断装置１００は、診断対象の部分を、劣化度を用いた絞り込みに加え、さらに所定の条件（例えば、劣化速度大）に基づいて絞り込む。 In this way, the deterioration diagnosis device 100 narrows down the portion to be diagnosed based on a predetermined condition (for example, a large deterioration rate) in addition to narrowing down using the degree of deterioration.
　劣化診断装置１００を用いた、上記の部分の選択について、図面を参照して、さらに説明する。 The selection of the above-mentioned part using the deterioration diagnosis device 100 will be further described with reference to the drawings.
　図９は、劣化曲線の一例を示す図である。図９は、ひび割れ率に対して、二次曲線回帰を適用した場合の一例である。なお、図９において、曲線における傾きが、劣化速度に相当する。 FIG. 9 is a diagram showing an example of a deterioration curve. FIG. 9 shows an example when quadratic curve regression is applied to the crack rate. In FIG. 9, the slope in the curve corresponds to the deterioration rate.
　劣化曲線は、診断対象となる部分の環境などに対応して変化する。図９は、環境の一例として、交通量が異なる部分に対応した劣化曲線を表示する。図９に示されているように、交通量が多い部分は、交通量の少なく部分と比較して、ひび割れ率の進行が進むまでの時間が短い。 The deterioration curve changes according to the environment of the part to be diagnosed. FIG. 9 displays a deterioration curve corresponding to a portion having a different traffic volume as an example of the environment. As shown in FIG. 9, the portion with a large amount of traffic has a shorter time until the crack rate progresses than the portion with a small amount of traffic.
　一例として、図９において、ひび割れ率が２０％から３０％となる年数を用いて説明する。交通量が多い場合、ひび割れ率は、３年から４年程度で、２０％から３０％となる。一方、交通量が少ない場合、ひび割れ率は、７年から８年程度で、２０％から３０％となる。 As an example, in FIG. 9, the number of years in which the crack rate is 20% to 30% will be described. When there is a lot of traffic, the crack rate is about 20% to 30% in about 3 to 4 years. On the other hand, when the traffic volume is low, the crack rate is about 7 to 8 years, and is 20% to 30%.
　このように、交通量の多い部分は、交通量の少ない部分と比較して、劣化速度が大きい。そのため、交通量が多い部分は、同じ劣化度である交通量が少ない部分と比較して、修繕が必要となるまでの期間が短い。このように、同じような劣化度でも、修繕が必要となる優先度が異なる。そして、この修繕の優先度は、劣化速度を用いて判定できる。 In this way, the part with a lot of traffic has a higher deterioration rate than the part with a little traffic. Therefore, the part with a large amount of traffic has a shorter period until repair is required than the part with the same degree of deterioration and a small amount of traffic. In this way, even with the same degree of deterioration, the priority for which repair is required differs. Then, the priority of this repair can be determined by using the deterioration rate.
　図１０は、劣化診断装置１００における選択を説明するための図である。 FIG. 10 is a diagram for explaining selection in the deterioration diagnosis device 100.
　図６に示すような劣化度が大である部分の選択は、図１０における劣化度が大とである領域に含まれる部分を選択することである。しかし、図１０に示すように、劣化度が大の部分には、劣化の進行が速い部分と、比較的劣化の進行が遅い部分とが含まれる。そして、修繕の対象としては、劣化の進行が速い部分を優先することが望ましい。 The selection of the portion having a large degree of deterioration as shown in FIG. 6 is to select the portion included in the region having a large degree of deterioration in FIG. However, as shown in FIG. 10, the portion having a large degree of deterioration includes a portion where the deterioration progresses quickly and a portion where the deterioration progresses relatively slowly. And, as the target of repair, it is desirable to give priority to the part where the deterioration progresses quickly.
　劣化診断装置１００は、図１０に示すように、劣化度条件及び劣化速度条件を用いて、修繕の対象として適切な部分（劣化度大、かつ、劣化速度大となっている部分）を選択できる。 As shown in FIG. 10, the deterioration diagnostic apparatus 100 can select an appropriate part (a part having a large degree of deterioration and a high deterioration rate) as a repair target by using the deterioration degree condition and the deterioration rate condition. ..
　なお、劣化診断装置１００は、選択された部分に関連する情報以外の情報を出力してもよい。例えば、劣化診断装置１００は、利用者に指定された部分に対応した劣化速度に関連する情報を出力してもよい。 The deterioration diagnosis device 100 may output information other than the information related to the selected portion. For example, the deterioration diagnosis device 100 may output information related to the deterioration rate corresponding to the portion designated by the user.
　図１１は、劣化診断装置１００が出力する劣化速度に関連する情報を説明するための図である。図１１は、劣化速度に関連する情報として、劣化度の履歴に基づいて生成された劣化曲線を表示している。 FIG. 11 is a diagram for explaining information related to the deterioration rate output by the deterioration diagnosis device 100. FIG. 11 displays a deterioration curve generated based on the history of the degree of deterioration as information related to the deterioration rate.
　図１１に示される表示に対応した詳細な動作の一例は、次のとおりである。 An example of detailed operation corresponding to the display shown in FIG. 11 is as follows.
　表示装置３００及び入力装置３１０は、液晶ディスプレイ、キーボード、及び、マウスを備えるコンピュータ装置とする。 The display device 300 and the input device 310 are computer devices including a liquid crystal display, a keyboard, and a mouse.
　まず、利用者が、表示装置３００及び入力装置３１０を用いて、劣化速度に関連する情報を表示する部分を選択する。例えば、図１１に示すように、利用者は、情報を表示したい部分にカーソルを重ね、マウスのボタンを押し込む（クリックする）。 First, the user selects a part for displaying information related to the deterioration rate by using the display device 300 and the input device 310. For example, as shown in FIG. 11, the user places the cursor on the portion where the information is to be displayed and presses (clicks) the mouse button.
　入力装置３１０は、部分を示す情報（例えば、部分の位置情報）を劣化診断装置１００に送信する。 The input device 310 transmits information indicating the portion (for example, position information of the portion) to the deterioration diagnosis device 100.
　劣化診断装置１００は、受信した部分を示す情報を用いて部分を判定し、判定した部分に関連する情報（例えば、劣化度の履歴）を、表示装置３００に送信する。 The deterioration diagnosis device 100 determines the portion using the information indicating the received portion, and transmits the information related to the determined portion (for example, the history of the degree of deterioration) to the display device 300.
　表示装置３００は、受信した情報（例えば、劣化度の履歴）、及び／又は、受信した情報（例えば、劣化度の履歴）を用いて算出した情報（例えば、劣化曲線）を表示する。 The display device 300 displays the received information (for example, the history of the degree of deterioration) and / or the information calculated using the received information (for example, the history of the degree of deterioration) (for example, the deterioration curve).
　なお、劣化診断装置１００は、劣化速度に関連する情報に加え、別の情報を出力してもよい。例えば、劣化診断装置１００は、劣化速度に関連する情報に加え、指定された部分の現在の劣化度を出力してもよい。 The deterioration diagnosis device 100 may output other information in addition to the information related to the deterioration rate. For example, the deterioration diagnosis device 100 may output the current deterioration degree of the designated portion in addition to the information related to the deterioration rate.
　図１１は、劣化速度に関連する情報（劣化曲線）に加え、指定された部分の現在の劣化度を表示している。 FIG. 11 shows the current degree of deterioration of the designated part in addition to the information related to the deterioration rate (deterioration curve).
　利用者は、表示された現在の劣化度と、劣化曲線（又は履歴）とを用いて、修繕するためにどの程度の時間的余裕があるかなどを把握できる。 The user can grasp how much time is available for repair by using the displayed current degree of deterioration and the deterioration curve (or history).
　［効果の説明］
　次に、第１の実施形態にかかる劣化診断装置１００の効果について説明する。 [Explanation of effect]
Next, the effect of the deterioration diagnosis device 100 according to the first embodiment will be described.
　第１の実施形態かかる劣化診断装置１００は、劣化診断の結果を用いた絞り込みに加え、劣化診断の対象となる部分をさらに絞り込むとの効果を得ることができる。 First Embodiment The deterioration diagnosis device 100 can obtain the effect of further narrowing down the target portion of the deterioration diagnosis in addition to the narrowing down using the result of the deterioration diagnosis.
　その理由は、次のとおりである。 The reason is as follows.
　劣化診断装置１００は、劣化情報保存部１３０と、劣化速度算出部１４０と、部分選択部１５０と、出力部１６０とを含む。劣化情報保存部１３０は、構造物における診断の対象となる部分の劣化度の履歴を保存する。劣化速度算出部１４０は、履歴に基づいて、部分の劣化速度を算出する。部分選択部１５０は、劣化度に関連する条件、及び、劣化速度に関連する条件を満足する部分を選択する。出力部１６０は、選択された部分に関連する情報を出力する。 The deterioration diagnosis device 100 includes a deterioration information storage unit 130, a deterioration rate calculation unit 140, a partial selection unit 150, and an output unit 160. The deterioration information storage unit 130 stores the history of the degree of deterioration of the portion of the structure to be diagnosed. The deterioration rate calculation unit 140 calculates the deterioration rate of the portion based on the history. The partial selection unit 150 selects a portion that satisfies the conditions related to the degree of deterioration and the conditions related to the deterioration rate. The output unit 160 outputs information related to the selected portion.
　劣化診断装置１００は、保存した劣化度の履歴を用いて、劣化速度を算出する。そして、劣化診断装置１００は、劣化度と劣化速度とが所定の条件を満足する部分に関連する情報を出力する。 The deterioration diagnosis device 100 calculates the deterioration rate using the stored history of the degree of deterioration. Then, the deterioration diagnosis device 100 outputs information related to a portion where the degree of deterioration and the deterioration rate satisfy a predetermined condition.
　このような劣化診断装置１００の利用者は、劣化度を用いた絞り込みに加え、劣化速度を用いて、診断の対象となる部分を選択できる。 The user of such a deterioration diagnosis device 100 can select a part to be diagnosed by using the deterioration rate in addition to the narrowing down using the degree of deterioration.
　その結果、利用者は、修繕などの対象として、より適切な部分を把握できる。 As a result, the user can grasp a more appropriate part as a target for repairs.
　さらに、劣化診断装置１００は、画像取得部１１０と、劣化度算出部１２０とを含む。画像取得部１１０は、診断の対象となる部分を含む画像を取得する。劣化度算出部１２０は、画像を用いて部分に対応する劣化度を算出し、履歴として算出した劣化度を劣化情報保存部１３０に保存する。 Further, the deterioration diagnosis device 100 includes an image acquisition unit 110 and a deterioration degree calculation unit 120. The image acquisition unit 110 acquires an image including a portion to be diagnosed. The deterioration degree calculation unit 120 calculates the deterioration degree corresponding to the portion using the image, and stores the deterioration degree calculated as a history in the deterioration information storage unit 130.
　劣化診断装置１００は、これらの構成を用いて、診断の対象となる部分を含む画像を用いて、劣化速度の算出に用いる劣化度の履歴を保存できる。 The deterioration diagnosis device 100 can save the history of the degree of deterioration used for calculating the deterioration rate by using an image including a portion to be diagnosed by using these configurations.
　さらに、劣化診断装置１００は、理論曲線を用いる場合に比べ、より正確に診断の対象となる部分を選択するとの効果を奏する。 Further, the deterioration diagnosis device 100 has an effect of selecting a portion to be diagnosed more accurately than when using a theoretical curve.
　その理由は、次のとおりである。 The reason is as follows.
　一般的な路面の劣化の診断において、劣化速度は、路面の分類などに対応した理論曲線（例えば、二次曲線）が用いられている。しかし、路面の診断の対象となる部分において、天候及び交通量など、劣化に関連する環境が、それぞれ異なる。従って、各部分における実際の劣化の進み具合は、一般的な理論から乖離する場合がある。 In a general diagnosis of road surface deterioration, a theoretical curve (for example, a quadratic curve) corresponding to the classification of the road surface is used for the deterioration rate. However, the environment related to deterioration such as weather and traffic volume is different in the part to be diagnosed on the road surface. Therefore, the actual progress of deterioration in each part may deviate from the general theory.
　しかし、劣化診断装置１００は、診断の対象となる部分を含む画像を用いて算出した劣化度、及び、算出した劣化度の履歴に基づいて算出した劣化速度を用いる。このように、劣化診断装置１００は、診断の対象となる部分の実際の劣化の状態に基づいて算出した劣化度及び劣化速度を用いる。そのため、劣化診断装置１００は、路面の分類に対応した理論曲線を用いる場合に比べ、より適切な劣化度及び劣化速度を用いて部分を選択できる。そのため、劣化診断装置１００の利用者は、より適切に修繕する部分を選択できる。 However, the deterioration diagnosis device 100 uses the deterioration degree calculated using the image including the portion to be diagnosed and the deterioration rate calculated based on the calculated deterioration degree history. As described above, the deterioration diagnosis device 100 uses the deterioration degree and the deterioration rate calculated based on the actual deterioration state of the portion to be diagnosed. Therefore, the deterioration diagnosis device 100 can select a portion using a more appropriate degree of deterioration and deterioration rate as compared with the case of using a theoretical curve corresponding to the classification of the road surface. Therefore, the user of the deterioration diagnosis device 100 can select a portion to be repaired more appropriately.
　また、劣化診断システム１０は、劣化診断装置１００と、表示装置３００と、入力装置３１０とを含む。入力装置３１０は、劣化診断装置１００に、選択条件（劣化度に関連する条件及び劣化速度に関連する条件）を送信する。劣化診断装置１００は、上記のような動作に基づいて、選択条件を満足する部分に関連する情報を出力する。表示装置３００は、劣化診断装置１００が出力する部分に関連する情報を用いて、選択条件（劣化度に関連する条件及び劣化速度に関連する条件）を満足する部分を表示する。 Further, the deterioration diagnosis system 10 includes a deterioration diagnosis device 100, a display device 300, and an input device 310. The input device 310 transmits the selection conditions (conditions related to the degree of deterioration and conditions related to the deterioration rate) to the deterioration diagnosis device 100. The deterioration diagnosis device 100 outputs information related to a portion that satisfies the selection condition based on the above operation. The display device 300 displays a portion that satisfies the selection conditions (conditions related to the degree of deterioration and conditions related to the deterioration rate) by using the information related to the portion output by the deterioration diagnosis device 100.
　このような構成に基づいて、劣化診断システム１０は、利用者に対して、劣化度を用いた絞り込みに加え、さらに所定の条件（劣化速度に関連する条件）を用いて絞り込まれた部分を提供することができる。 Based on such a configuration, the deterioration diagnosis system 10 provides the user with a portion narrowed down by using a predetermined condition (condition related to the deterioration rate) in addition to the narrowing down using the degree of deterioration. can do.
　さらに、劣化診断システム１０は、撮像装置２００を含む。撮像装置２００は、診断の対象となる構造物の部分を含む画像を撮影し、劣化診断装置１００に送信する。このような構成に基づいて、劣化診断システム１０は、撮像装置２００が撮影した画像を用いて、画像に含まれる構造物の部分に対する劣化の診断を実行できる。 Further, the deterioration diagnosis system 10 includes an imaging device 200. The image pickup apparatus 200 captures an image including a portion of the structure to be diagnosed and transmits it to the deterioration diagnosis apparatus 100. Based on such a configuration, the deterioration diagnosis system 10 can execute the diagnosis of deterioration of the portion of the structure included in the image by using the image taken by the image pickup apparatus 200.
　なお、本実施形態では、劣化度算出部１２０が、撮像装置２００から取得した画像を用いて、劣化度を算出する例を説明した。しかし、劣化度算出部１２０は、撮像装置２００の代わりに、図示しない加速度センサから取得した情報を用いて劣化度を算出してもよい。例えば、劣化度算出部１２０は、劣化度として、加速度センサから取得した加速度の変化に応じて、ＩＲＩを算出してもよい。 In the present embodiment, an example in which the deterioration degree calculation unit 120 calculates the deterioration degree using the image acquired from the image pickup apparatus 200 has been described. However, the deterioration degree calculation unit 120 may calculate the deterioration degree by using the information acquired from the acceleration sensor (not shown) instead of the image pickup apparatus 200. For example, the deterioration degree calculation unit 120 may calculate the IRI as the deterioration degree according to the change in the acceleration acquired from the acceleration sensor.
　さらに、劣化度算出部１２０は、撮像装置２００から取得した画像と、加速度センサから取得した情報とを併用して、劣化度を算出してもよい。 Further, the deterioration degree calculation unit 120 may calculate the deterioration degree by using the image acquired from the image pickup apparatus 200 and the information acquired from the acceleration sensor in combination.
　［ハードウェア構成］
　次に、劣化診断装置１００のハードウェア構成について説明する。 [Hardware configuration]
Next, the hardware configuration of the deterioration diagnosis device 100 will be described.
　劣化診断装置１００の各構成部は、ハードウェア回路で構成されてもよい。 Each component of the deterioration diagnosis device 100 may be composed of a hardware circuit.
　あるいは、劣化診断装置１００において、各構成部は、ネットワークを介して接続した複数の装置を用いて、構成されてもよい。 Alternatively, in the deterioration diagnosis device 100, each component may be configured by using a plurality of devices connected via a network.
　あるいは、劣化診断装置１００において、複数の構成部は、１つのハードウェアで構成されてもよい。 Alternatively, in the deterioration diagnosis device 100, a plurality of components may be configured by one piece of hardware.
　あるいは、劣化診断装置１００は、ＣＰＵ（Ｃｅｎｔｒａｌ　Ｐｒｏｃｅｓｓｉｎｇ　Ｕｎｉｔ）と、ＲＯＭ（Ｒｅａｄ　Ｏｎｌｙ　Ｍｅｍｏｒｙ）と、ＲＡＭ（Ｒａｎｄｏｍ　Ａｃｃｅｓｓ　Ｍｅｍｏｒｙ）とを含むコンピュータ装置として実現されてもよい。劣化診断装置１００は、上記構成に加え、さらに、ネットワークインターフェース回路（ＮＩＣ：Ｎｅｔｗｏｒｋ　Ｉｎｔｅｒｆａｃｅ　Ｃｉｒｃｕｉｔ）を含むコンピュータ装置として実現されてもよい。さらに、劣化診断装置１００は、劣化診断処理を高速化するために、ＧＰＵ（Ｇｒａｐｈｉｃｓ　Ｐｒｏｃｅｓｓｉｎｇ　Ｕｎｉｔ）を含むコンピュータ装置として実現されてもよい。 Alternatively, the deterioration diagnosis device 100 may be realized as a computer device including a CPU (Central Processing Unit), a ROM (Read Only Memory), and a RAM (Random Access Memory). The deterioration diagnosis device 100 may be realized as a computer device including a network interface circuit (NIC: Network Interface Circuit) in addition to the above configuration. Further, the deterioration diagnosis device 100 may be realized as a computer device including a GPU (Graphics Processing Unit) in order to speed up the deterioration diagnosis process.
　図１２は、劣化診断装置１００のハードウェア構成の一例である情報処理装置６００の構成を示すブロック図である。 FIG. 12 is a block diagram showing the configuration of the information processing device 600, which is an example of the hardware configuration of the deterioration diagnosis device 100.
　情報処理装置６００は、ＣＰＵ６１０と、ＲＯＭ６２０と、ＲＡＭ６３０と、記憶装置６４０と、ＮＩＣ６８０とを含み、コンピュータ装置を構成している。 The information processing device 600 includes a CPU 610, a ROM 620, a RAM 630, a storage device 640, and a NIC 680, and constitutes a computer device.
　ＣＰＵ６１０は、ＲＯＭ６２０及び／又は記憶装置６４０からプログラムを読み込む。そして、ＣＰＵ６１０は、読み込んだプログラムに基づいて、ＲＡＭ６３０と、記憶装置６４０と、ＮＩＣ６８０とを制御する。そして、ＣＰＵ６１０を含むコンピュータ装置は、これらの構成を制御し、図１に示されている、画像取得部１１０と、劣化度算出部１２０と、劣化情報保存部１３０と、劣化速度算出部１４０と、部分選択部１５０と、出力部１６０としての各機能を実現する。 The CPU 610 reads the program from the ROM 620 and / or the storage device 640. Then, the CPU 610 controls the RAM 630, the storage device 640, and the NIC 680 based on the read program. Then, the computer device including the CPU 610 controls these configurations, and the image acquisition unit 110, the deterioration degree calculation unit 120, the deterioration information storage unit 130, and the deterioration speed calculation unit 140 shown in FIG. 1 , Each function as a partial selection unit 150 and an output unit 160 is realized.
　ＣＰＵ６１０は、各機能を実現する際に、ＲＡＭ６３０又は記憶装置６４０を、プログラムの一時記憶媒体として使用してもよい。 The CPU 610 may use the RAM 630 or the storage device 640 as a temporary storage medium for the program when realizing each function.
　また、ＣＰＵ６１０は、コンピュータ装置で読み取り可能にプログラムを記憶した記憶媒体６９０が含むプログラムを、図示しない記憶媒体読み取り装置を用いて読み込んでもよい。あるいは、ＣＰＵ６１０は、ＮＩＣ６８０を介して、図示しない外部の装置からプログラムを受け取り、ＲＡＭ６３０又は記憶装置６４０に保存して、保存したプログラムを基に動作してもよい。 Further, the CPU 610 may read the program included in the storage medium 690 that stores the program readable by the computer device using a storage medium reading device (not shown). Alternatively, the CPU 610 may receive a program from an external device (not shown) via the NIC 680, store the program in the RAM 630 or the storage device 640, and operate based on the stored program.
　ＲＯＭ６２０は、ＣＰＵ６１０が実行するプログラム及び固定的なデータを記憶する。ＲＯＭ６２０は、例えば、Ｐ－ＲＯＭ（Ｐｒｏｇｒａｍｍａｂｌｅ－ＲＯＭ）又はフラッシュＲＯＭである。 The ROM 620 stores a program executed by the CPU 610 and fixed data. The ROM 620 is, for example, a P-ROM (Programmable-ROM) or a flash ROM.
　ＲＡＭ６３０は、ＣＰＵ６１０が実行するプログラム及びデータを一時的に記憶する。ＲＡＭ６３０は、例えば、Ｄ－ＲＡＭ（Ｄｙｎａｍｉｃ－ＲＡＭ）である。 The RAM 630 temporarily stores the program and data executed by the CPU 610. The RAM 630 is, for example, a D-RAM (Dynamic-RAM).
　記憶装置６４０は、情報処理装置６００が長期的に保存するデータ及びプログラムを記憶する。記憶装置６４０は、劣化情報保存部１３０として動作する。さらに、記憶装置６４０は、ＣＰＵ６１０の一時記憶装置として動作してもよい。記憶装置６４０は、例えば、ハードディスク装置、光磁気ディスク装置、ＳＳＤ（Ｓｏｌｉｄ　Ｓｔａｔｅ　Ｄｒｉｖｅ）又はディスクアレイ装置である。 The storage device 640 stores data and programs stored in the information processing device 600 for a long period of time. The storage device 640 operates as a deterioration information storage unit 130. Further, the storage device 640 may operate as a temporary storage device of the CPU 610. The storage device 640 is, for example, a hard disk device, a magneto-optical disk device, an SSD (Solid State Drive), or a disk array device.
　ＲＯＭ６２０と記憶装置６４０とは、不揮発性（ｎｏｎ－ｔｒａｎｓｉｔｏｒｙ）の記憶媒体である。一方、ＲＡＭ６３０は、揮発性（ｔｒａｎｓｉｔｏｒｙ）の記憶媒体である。そして、ＣＰＵ６１０は、ＲＯＭ６２０、記憶装置６４０、又は、ＲＡＭ６３０に記憶されているプログラムを基に動作可能である。つまり、ＣＰＵ６１０は、不揮発性記憶媒体又は揮発性記憶媒体を用いて動作可能である。 The ROM 620 and the storage device 640 are non-volatile storage media. On the other hand, the RAM 630 is a volatile storage medium. Then, the CPU 610 can operate based on the program stored in the ROM 620, the storage device 640, or the RAM 630. That is, the CPU 610 can operate using a non-volatile storage medium or a volatile storage medium.
　ＮＩＣ６８０は、情報処理装置６００と撮像装置２００との間、情報処理装置６００と表示装置３００との間、及び、情報処理装置６００と入力装置３１０との間におけるデータの送信及び受信を、仲介する。ＮＩＣ６８０は、例えば、ＬＡＮ（Ｌｏｃａｌ　Ａｒｅａ　Ｎｅｔｗｏｒｋ）カードである。さらに、ＮＩＣ６８０は、有線に限らず、無線を用いてもよい。 The NIC 680 mediates the transmission and reception of data between the information processing device 600 and the image pickup device 200, between the information processing device 600 and the display device 300, and between the information processing device 600 and the input device 310. .. The NIC680 is, for example, a LAN (Local Area Network) card. Further, the NIC680 is not limited to the wired one, and the wireless one may be used.
　このように構成された情報処理装置６００は、劣化診断装置１００と同様の効果を得ることができる。 The information processing device 600 configured in this way can obtain the same effect as the deterioration diagnosis device 100.
　その理由は、情報処理装置６００のＣＰＵ６１０が、プログラムに基づいて劣化診断装置１００と同様の機能を実現できるためである。 The reason is that the CPU 610 of the information processing device 600 can realize the same function as the deterioration diagnosis device 100 based on the program.
　＜第２の実施形態＞
　第２の実施形態として、第１の実施形態にかかる劣化診断装置１００及び劣化診断システム１０の概要を説明する。 <Second embodiment>
As the second embodiment, the outline of the deterioration diagnosis device 100 and the deterioration diagnosis system 10 according to the first embodiment will be described.
　［構成の説明］
　図１３は、第１の実施形態の劣化診断装置１００の概要である第２の実施形態にかかる劣化診断装置１０１の構成の一例を示すブロック図である。 [Description of configuration]
FIG. 13 is a block diagram showing an example of the configuration of the deterioration diagnosis device 101 according to the second embodiment, which is an outline of the deterioration diagnosis device 100 of the first embodiment.
　劣化診断装置１０１は、劣化情報保存部１３０と、劣化速度算出部１４０と、部分選択部１５０と、出力部１６０とを含む。劣化情報保存部１３０は、構造物における診断の対象となる部分の劣化度の履歴を保存する。劣化速度算出部１４０は、履歴に基づいて、部分の劣化速度を算出する。部分選択部１５０は、劣化度に関連する条件、及び、劣化速度に関連する条件を満足する部分を選択する。出力部１６０は、選択された部分に関連する情報を出力する。 The deterioration diagnosis device 101 includes a deterioration information storage unit 130, a deterioration rate calculation unit 140, a partial selection unit 150, and an output unit 160. The deterioration information storage unit 130 stores the history of the degree of deterioration of the portion of the structure to be diagnosed. The deterioration rate calculation unit 140 calculates the deterioration rate of the portion based on the history. The partial selection unit 150 selects a portion that satisfies the conditions related to the degree of deterioration and the conditions related to the deterioration rate. The output unit 160 outputs information related to the selected portion.
　なお、劣化診断装置１０１は、図１２に示されているコンピュータ装置を用いて実現されてもよい。 The deterioration diagnosis device 101 may be realized by using the computer device shown in FIG.
　［動作の説明］
　図１４は、第２の実施形態にかかる劣化診断装置１０１の動作の一例を示すフロー図である。 [Explanation of operation]
FIG. 14 is a flow chart showing an example of the operation of the deterioration diagnosis device 101 according to the second embodiment.
　劣化情報保存部１３０は、劣化度を、履歴として保存する（ステップＳ５０５）。 The deterioration information storage unit 130 stores the degree of deterioration as a history (step S505).
　劣化速度算出部１４０は、履歴に基づいて、劣化速度を算出する（ステップＳ５０７）。 The deterioration rate calculation unit 140 calculates the deterioration rate based on the history (step S507).
　部分選択部１５０は、選択条件（劣化度に関連する条件及び劣化速度に関連する条件）を受信する。そして、部分選択部１５０は、選択条件を満足する部分を選択する（ステップＳ５０９）。 The partial selection unit 150 receives selection conditions (conditions related to the degree of deterioration and conditions related to the deterioration rate). Then, the partial selection unit 150 selects a portion that satisfies the selection condition (step S509).
　出力部１６０は、選択された部分に関連する情報を出力する（ステップＳ５１１）。 The output unit 160 outputs information related to the selected portion (step S511).
　そして、劣化診断装置１０１は、動作を終了する。 Then, the deterioration diagnosis device 101 ends the operation.
　このように、劣化診断装置１０１は、劣化診断装置１００と同様に、保存した劣化度の履歴を用いて、劣化速度を算出する。そして、劣化診断装置１０１は、劣化度と劣化速度とが所定の条件を満足する部分に関連する情報を出力する。 In this way, the deterioration diagnosis device 101 calculates the deterioration rate using the stored deterioration degree history, similarly to the deterioration diagnosis device 100. Then, the deterioration diagnosis device 101 outputs information related to a portion where the degree of deterioration and the deterioration rate satisfy a predetermined condition.
　［効果の説明］
　劣化診断装置１０１は、第１の実施形態と同様に、劣化診断の結果を用いた絞り込みに加え、劣化診断の対象となる部分をさらに絞り込むとの効果を得ることができる。 [Explanation of effect]
Similar to the first embodiment, the deterioration diagnosis device 101 can obtain the effect of further narrowing down the portion to be the target of the deterioration diagnosis in addition to the narrowing down using the result of the deterioration diagnosis.
　その理由は、劣化診断装置１０１の各構成が、劣化診断装置１００における対応する構成と同様に動作するためである。 The reason is that each configuration of the deterioration diagnosis device 101 operates in the same manner as the corresponding configuration in the deterioration diagnosis device 100.
　なお、図１３における劣化診断装置１０１は、第１の実施形態における劣化診断装置１００の最小構成である。 The deterioration diagnosis device 101 in FIG. 13 is the minimum configuration of the deterioration diagnosis device 100 in the first embodiment.
　［システムの説明］
　図１５は、第２の実施形態にかかる劣化診断装置１０１を含む劣化診断システム１１の構成の一例を示すブロック図である。 [System description]
FIG. 15 is a block diagram showing an example of the configuration of the deterioration diagnosis system 11 including the deterioration diagnosis device 101 according to the second embodiment.
　劣化診断システム１１は、劣化診断装置１０１と、表示装置３００と、入力装置３１０とを含む。入力装置３１０は、劣化診断装置１０１に、選択条件（劣化度に関連する条件及び劣化速度に関連する条件）を送信する。劣化診断装置１０１は、上記のような動作に基づいて、選択条件を満足する部分に関連する情報を出力する。表示装置３００は、劣化診断装置１０１が出力する部分に関連する情報を用いて、選択条件（劣化度に関連する条件及び劣化速度に関連する条件）を満足する部分を表示する。 The deterioration diagnosis system 11 includes a deterioration diagnosis device 101, a display device 300, and an input device 310. The input device 310 transmits the selection conditions (conditions related to the degree of deterioration and conditions related to the deterioration rate) to the deterioration diagnosis device 101. The deterioration diagnosis device 101 outputs information related to a portion that satisfies the selection condition based on the above operation. The display device 300 displays a portion that satisfies the selection conditions (conditions related to the degree of deterioration and conditions related to the deterioration rate) by using the information related to the portion output by the deterioration diagnosis device 101.
　このような構成に基づいて、劣化診断システム１１は、利用者に対して、劣化診断の対象の中から、診断結果を用いた絞り込みに加え、さらに所定の条件に基づいて絞り込まれた部分を提供することができる。 Based on such a configuration, the deterioration diagnosis system 11 provides the user with a portion narrowed down based on a predetermined condition in addition to the narrowing down using the diagnosis result from the targets of the deterioration diagnosis. can do.
　なお、図１４における劣化診断システム１１は、第１の実施形態における劣化診断システム１０の最小構成である。 The deterioration diagnosis system 11 in FIG. 14 is the minimum configuration of the deterioration diagnosis system 10 in the first embodiment.
　以上、実施形態を参照して本願発明を説明したが、本願発明は上記実施形態に限定されるものではない。本願発明の構成及び詳細には、本願発明のスコープ内で当業者が理解し得る様々な変更をすることができる。 Although the invention of the present application has been described above with reference to the embodiment, the invention of the present application is not limited to the above embodiment. Various modifications that can be understood by those skilled in the art can be made within the scope of the present invention in terms of the configuration and details of the present invention.
　本発明は、高度道路交通システム（ＩＴＳ：Ｉｎｔｅｌｌｉｇｅｎｔ　Ｔｒａｎｓｐｏｒｔ　Ｓｙｓｔｅｍ）などの、情報技術（ＩＴ：Ｉｎｆｏｒｍａｔｉｏｎ　Ｔｅｃｈｎｏｌｏｇｙ）を利用した交通システムに利用可能である。 The present invention can be used for a transportation system using information technology (IT: Information Technology) such as an intelligent transportation system (ITS).
　この出願は、２０２０年　３月３１日に出願された日本出願特願２０２０－０６２９１４を基礎とする優先権を主張し、その開示の全てをここに取り込む。 This application claims priority based on Japanese application Japanese Patent Application No. 2020-062914 filed on March 31, 2020, and incorporates all of its disclosures herein.
１０　劣化診断システム
１１　劣化診断システム
１００　劣化診断装置
１０１　劣化診断装置
１１０　画像取得部
１２０　劣化度算出部
１３０　劣化情報保存部
１４０　劣化速度算出部
１５０　部分選択部
１６０　出力部
２００　撮像装置
３００　表示装置
３１０　入力装置
４１０　情報処理装置
４２０　ネットワーク
４３０　通信路
４４０　車両
４５０　設備
６００　情報処理装置
６１０　ＣＰＵ
６２０　ＲＯＭ
６３０　ＲＡＭ
６４０　記憶装置
６６０　入力機器
６７０　表示機器
６８０　ＮＩＣ
６９０　記憶媒体 10 Deterioration diagnosis system 11 Deterioration diagnosis system 100 Deterioration diagnosis device 101 Deterioration diagnosis device 110 Image acquisition unit 120 Deterioration degree calculation unit 130 Deterioration information storage unit 140 Deterioration speed calculation unit 150 Partial selection unit 160 Output unit 200 Imaging device 300 Display device 310 Input Device 410 Information processing device 420 Network 430 Communication path 440 Vehicle 450 Equipment 600 Information processing device 610 CPU
620 ROM
630 RAM
640 Storage device 660 Input device 670 Display device 680 NIC
690 storage medium

Claims (7)

  1. 　構造物における診断の対象となる部分の劣化度の履歴を保存する劣化情報保存手段と、
    　前記履歴に基づいて、前記部分の劣化速度を算出する劣化速度算出手段と、
    　前記劣化度に関連する条件、及び、前記劣化速度に関連する条件を満足する前記部分を選択する部分選択手段と、
    　選択された前記部分に関連する情報を出力する出力手段と
    　を含む劣化診断装置。     Deterioration information storage means for storing the history of deterioration of the part to be diagnosed in the structure,
    Deterioration rate calculation means for calculating the deterioration rate of the portion based on the history, and
    A partial selection means for selecting the portion that satisfies the conditions related to the degree of deterioration and the conditions related to the deterioration rate, and
    A degradation diagnostic apparatus including an output means for outputting information related to the selected portion.
  2. 　前記出力手段が、選択された前記部分に関連する情報として、前記部分の位置に関連する情報を出力する
    　請求項１に記載の劣化診断装置。     The deterioration diagnostic apparatus according to claim 1, wherein the output means outputs information related to the position of the portion as information related to the selected portion.
  3. 　診断の対象となる前記部分を含む画像を取得する画像取得手段と、
    　前記画像を用いて前記部分に対応する前記劣化度を算出し、算出した前記劣化度を前記劣化情報保存手段に、前記履歴として保存する劣化度算出手段と
    　をさらに含む請求項１又は２に記載の劣化診断装置。     An image acquisition means for acquiring an image including the portion to be diagnosed, and
    The first or second claim, wherein the deterioration degree corresponding to the portion is calculated using the image, and the calculated deterioration degree is further included in the deterioration information storage means and the deterioration degree calculation means for storing the history. Deterioration diagnostic equipment.
  4. 　請求項１ないし３のいずれか１項に記載の劣化診断装置と、
    　前記劣化診断装置に前記劣化度に関連する条件、及び、前記劣化速度に関連する条件を送信する入力装置と、
    　前記劣化診断装置が出力する前記部分に関連する情報を用いて、前記劣化度に関連する条件、及び、前記劣化速度に関連する条件を満足する前記部分を表示する表示装置と
    　を含む劣化診断システム。     The deterioration diagnostic apparatus according to any one of claims 1 to 3,
    An input device that transmits the conditions related to the degree of deterioration and the conditions related to the deterioration rate to the deterioration diagnosis device.
    A deterioration diagnosis system including a condition related to the degree of deterioration and a display device for displaying the part satisfying the condition related to the deterioration rate by using the information related to the part output by the deterioration diagnosis device. ..
  5. 　前記劣化診断装置が、前記表示装置に、選択された前記部分の前記劣化度の前記履歴を出力し、
    　前記表示装置が、前記劣化度の前記履歴、及び／又は、前記履歴を用いて算出した前記部分における前記劣化速度に関連する情報を表示する
    　請求項４に記載の劣化診断システム。     The deterioration diagnosis device outputs the history of the degree of deterioration of the selected portion to the display device.
    The deterioration diagnosis system according to claim 4, wherein the display device displays the history of the degree of deterioration and / or information related to the deterioration rate in the portion calculated by using the history.
  6. 　構造物における診断の対象となる部分の劣化度の履歴を保存し、
    　前記履歴に基づいて、前記部分の劣化速度を算出し、
    　前記劣化度に関連する条件、及び、前記劣化速度に関連する条件を満足する前記部分を選択し、
    　選択された前記部分に関連する情報を出力する
    　劣化診断方法。     Save the history of deterioration of the part to be diagnosed in the structure,
    Based on the history, the deterioration rate of the part is calculated.
    Select the portion that satisfies the conditions related to the degree of deterioration and the conditions related to the deterioration rate.
    A deterioration diagnosis method that outputs information related to the selected portion.
  7. 　構造物における診断の対象となる部分の劣化度の履歴を保存する処理と、
    　前記履歴に基づいて、前記部分の劣化速度を算出する処理と、
    　前記劣化度に関連する条件、及び、前記劣化速度に関連する条件を満足する前記部分を選択する処理と、
    　選択された前記部分に関連する情報を出力する処理と
    　をコンピュータに実行させるプログラムを記録する記録媒体。     Processing to save the history of deterioration of the part to be diagnosed in the structure,
    A process of calculating the deterioration rate of the portion based on the history, and
    A process of selecting the portion that satisfies the conditions related to the degree of deterioration and the conditions related to the deterioration rate, and
    A recording medium for recording a program that causes a computer to execute a process of outputting information related to the selected portion.
PCT/JP2021/006641 2020-03-31 2021-02-22 Deterioration diagnosis device, deterioration diagnosis system, and recording medium WO2021199793A1 (en)

Priority Applications (2)

Application Number Priority Date Filing Date Title
US17/908,647 US20230108633A1 (en) 2020-03-31 2021-02-22 Deterioration diagnosis device and recording medium
JP2022511659A JP7364045B2 (en) 2020-03-31 2021-02-22 Deterioration diagnosis device, deterioration diagnosis system, deterioration diagnosis method, and program

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
JP2020-062914 2020-03-31
JP2020062914 2020-03-31

Publications (1)

Publication Number Publication Date
WO2021199793A1 true WO2021199793A1 (en) 2021-10-07

Family

ID=77927066

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/JP2021/006641 WO2021199793A1 (en) 2020-03-31 2021-02-22 Deterioration diagnosis device, deterioration diagnosis system, and recording medium

Country Status (3)

Country Link
US (1) US20230108633A1 (en)
JP (1) JP7364045B2 (en)
WO (1) WO2021199793A1 (en)

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPH11132961A (en) * 1997-10-29 1999-05-21 Nikon Corp Inspection apparatus for structure
JP2006338284A (en) * 2005-06-01 2006-12-14 Tokyo Electric Power Co Inc:The Image composition device and image composition method
WO2016132587A1 (en) * 2015-02-18 2016-08-25 株式会社東芝 Information processing device, road structure management system, and road structure management method

Family Cites Families (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2004156417A (en) * 2002-11-05 2004-06-03 Chuo Fukken Consultants Co Ltd Method for determination of timing for degradation inspection or repairing of civil engineering facility, and supporting device for determination of timing for the same
JP2005115687A (en) * 2003-10-08 2005-04-28 Hitachi Ltd Road maintenance support system
JP6573354B2 (en) * 2014-11-28 2019-09-11 キヤノン株式会社 Image processing apparatus, image processing method, and program
CN107923132B (en) * 2015-07-21 2020-08-04 株式会社东芝 Crack analysis device, crack analysis method, and recording medium
JP6622156B2 (en) * 2016-08-24 2019-12-18 株式会社東芝 Information processing apparatus, information processing method, and program
JP7023690B2 (en) * 2017-12-06 2022-02-22 株式会社東芝 Road maintenance system, road maintenance method and computer program
WO2020022042A1 (en) * 2018-07-25 2020-01-30 日本電気株式会社 Deterioration diagnosis device, deterioration diagnosis system, deterioration diagnosis method, and storage medium for storing program
WO2021186989A1 (en) * 2020-03-16 2021-09-23 日本電気株式会社 Deterioration diagnosis device, deterioration diagnosis system, deterioration diagnosis method, and recording medium
JP7513082B2 (en) * 2020-03-27 2024-07-09 日本電気株式会社 Deterioration prediction system, deterioration prediction method and program
US20240212116A1 (en) * 2020-03-31 2024-06-27 Nec Corporation Deterioration diagnosis device, deterioration diagnosis method, and recording medium

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPH11132961A (en) * 1997-10-29 1999-05-21 Nikon Corp Inspection apparatus for structure
JP2006338284A (en) * 2005-06-01 2006-12-14 Tokyo Electric Power Co Inc:The Image composition device and image composition method
WO2016132587A1 (en) * 2015-02-18 2016-08-25 株式会社東芝 Information processing device, road structure management system, and road structure management method

Also Published As

Publication number Publication date
JPWO2021199793A1 (en) 2021-10-07
US20230108633A1 (en) 2023-04-06
JP7364045B2 (en) 2023-10-18

Similar Documents

Publication Publication Date Title
JP7023690B2 (en) Road maintenance system, road maintenance method and computer program
WO2021186989A1 (en) Deterioration diagnosis device, deterioration diagnosis system, deterioration diagnosis method, and recording medium
JP2022003521A (en) Traffic accident identification method, apparatus, device and computer storage medium
US8620847B2 (en) Traffic situation prediction apparatus
KR102080462B1 (en) Method and system for pavement safety diagnosis and management based on deep-learning
JP6682021B2 (en) Road collapse risk evaluation device, road collapse risk evaluation method, and computer program for road collapse risk evaluation
US20180148898A1 (en) Road state management apparatus and method
WO2021192790A1 (en) Deterioration prediction system, deterioration prediction method, and recording medium for storing program
WO2022009272A1 (en) Deterioration diagnosis system, deterioration diagnosis device, deterioration diagnosis method, and recording medium
JP7529110B2 (en) Degradation diagnosis device, degradation diagnosis method, and program
WO2021005692A1 (en) Insurance premium calculation system and insurance premium calculation method
WO2021199793A1 (en) Deterioration diagnosis device, deterioration diagnosis system, and recording medium
JP6385036B2 (en) Method, system, or computer-usable program for mapping infrastructure layout between non-compliant databases
JP4685214B2 (en) Deterioration diagnosis support system for concrete structures
JP6575066B2 (en) Road construction planning program, road construction planning method and information processing apparatus
JP7334851B2 (en) Deterioration diagnosis device, deterioration diagnosis system, deterioration diagnosis method, and program
CN114488061A (en) Quantitative evaluation method, device, equipment and storage medium for pollution state of ballast bed
KR20210083135A (en) Dangerous area prediction device and method for road management
JP2021070993A (en) Infrastructure inspection system and infrastructure inspection method
US20230099178A1 (en) Managing mobile data gathering agents
JP7414766B2 (en) Toll collection system, control method and program performed by the toll collection system
US11776100B2 (en) System and method for analyzing an integrity of a roof covering
JP6906271B1 (en) Road deterioration diagnosis device, road deterioration diagnosis method, and program
WO2022130550A1 (en) Infrastructure management system, infrastructure management method, and recording medium
JP2023138372A (en) Information processing device, management device, information processing system, information processing method, management method, and program

Legal Events

Date Code Title Description
121 Ep: the epo has been informed by wipo that ep was designated in this application

Ref document number: 21781689

Country of ref document: EP

Kind code of ref document: A1

ENP Entry into the national phase

Ref document number: 2022511659

Country of ref document: JP

Kind code of ref document: A

NENP Non-entry into the national phase

Ref country code: DE

122 Ep: pct application non-entry in european phase

Ref document number: 21781689

Country of ref document: EP

Kind code of ref document: A1